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	<title>CiteULike: klouie's library [674 articles]</title>
	<description>CiteULike: klouie's library [674 articles]</description>


	<link>http://www.citeulike.org/user/klouie</link>
	<dc:publisher>CiteULike.org</dc:publisher>
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<item rdf:about="http://www.citeulike.org/user/klouie/article/2613941">
    <title>The return of Phineas Gage: clues about the brain from the skull of a famous patient.</title>
    <link>http://www.citeulike.org/user/klouie/article/2613941</link>
    <description>&lt;i&gt;Science, Vol. 264, No. 5162. (20 May 1994), pp. 1102-1105.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;When the landmark patient Phineas Gage died in 1861, no autopsy was performed, but his skull was later recovered. The brain lesion that caused the profound personality changes for which his case became famous has been presumed to have involved the left frontal region, but questions have been raised about the involvement of other regions and about the exact placement of the lesion within the vast frontal territory. Measurements from Gage's skull and modern neuroimaging techniques were used to reconstitute the accident and determine the probable location of the lesion. The damage involved both left and right prefrontal cortices in a pattern that, as confirmed by Gage's modern counterparts, causes a defect in rational decision making and the processing of emotion.</description>
    <dc:title>The return of Phineas Gage: clues about the brain from the skull of a famous patient.</dc:title>

    <dc:creator>H Damasio</dc:creator>
    <dc:creator>T Grabowski</dc:creator>
    <dc:creator>R Frank</dc:creator>
    <dc:creator>AM Galaburda</dc:creator>
    <dc:creator>AR Damasio</dc:creator>
    <dc:source>Science, Vol. 264, No. 5162. (20 May 1994), pp. 1102-1105.</dc:source>
    <dc:date>2008-03-30T21:10:05-00:00</dc:date>
    <prism:publicationName>Science</prism:publicationName>
    <prism:issn>0036-8075</prism:issn>
    <prism:volume>264</prism:volume>
    <prism:number>5162</prism:number>
    <prism:startingPage>1102</prism:startingPage>
    <prism:endingPage>1105</prism:endingPage>
    <prism:category>lesion</prism:category>
    <prism:category>prefrontal</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1596473">
    <title>The functional neuroanatomy of the human orbitofrontal cortex: evidence from neuroimaging and neuropsychology</title>
    <link>http://www.citeulike.org/user/klouie/article/1596473</link>
    <description>&lt;i&gt;Progress in Neurobiology, Vol. 72, No. 5. (April 2004), pp. 341-372.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The human orbitofrontal cortex is an important brain region for the processing of rewards and punishments, which is a prerequisite for the complex and flexible emotional and social behaviour which contributes to the evolutionary success of humans. Yet much remains to be discovered about the functions of this key brain region, and new evidence from functional neuroimaging and clinical neuropsychology is affording new insights into the different functions of the human orbitofrontal cortex. We review the neuroanatomical and neuropsychological literature on the human orbitofrontal cortex, and propose two distinct trends of neural activity based on a meta-analysis of neuroimaging studies. One is a mediolateral distinction, whereby medial orbitofrontal cortex activity is related to monitoring the reward value of many different reinforcers, whereas lateral orbitofrontal cortex activity is related to the evaluation of punishers which may lead to a change in ongoing behaviour. The second is a posterior-anterior distinction with more complex or abstract reinforcers (such as monetary gain and loss) represented more anteriorly in the orbitofrontal cortex than simpler reinforcers such as taste or pain. Finally, we propose new neuroimaging methods for obtaining further evidence on the localisation of function in the human orbitofrontal cortex.</description>
    <dc:title>The functional neuroanatomy of the human orbitofrontal cortex: evidence from neuroimaging and neuropsychology</dc:title>

    <dc:creator>Morten Kringelbach</dc:creator>
    <dc:creator>Edmund Rolls</dc:creator>
    <dc:identifier>doi:10.1016/j.pneurobio.2004.03.006</dc:identifier>
    <dc:source>Progress in Neurobiology, Vol. 72, No. 5. (April 2004), pp. 341-372.</dc:source>
    <dc:date>2007-08-27T14:27:49-00:00</dc:date>
    <prism:publicationName>Progress in Neurobiology</prism:publicationName>
    <prism:volume>72</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>341</prism:startingPage>
    <prism:endingPage>372</prism:endingPage>
    <prism:category>human</prism:category>
    <prism:category>neuroanatomy</prism:category>
    <prism:category>orbitofrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2786247">
    <title>The prefrontal cortex: categories, concepts and cognition.</title>
    <link>http://www.citeulike.org/user/klouie/article/2786247</link>
    <description>&lt;i&gt;Philosophical transactions of the Royal Society of London. Series B, Biological sciences, Vol. 357, No. 1424. (29 August 2002), pp. 1123-1136.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The ability to generalize behaviour-guiding principles and concepts from experience is key to intelligent, goal-directed behaviour. It allows us to deal efficiently with a complex world and to adapt readily to novel situations. We review evidence that the prefrontal cortex-the cortical area that reaches its greatest elaboration in primates-plays a central part in acquiring and representing this information. The prefrontal cortex receives highly processed information from all major forebrain systems, and neurophysiological studies suggest that it synthesizes this into representations of learned task contingencies, concepts and task rules. In short, the prefrontal cortex seems to underlie our internal representations of the 'rules of the game'. This may provide the necessary foundation for the complex behaviour of primates, in whom this structure is most elaborate.</description>
    <dc:title>The prefrontal cortex: categories, concepts and cognition.</dc:title>

    <dc:creator>EK Miller</dc:creator>
    <dc:creator>DJ Freedman</dc:creator>
    <dc:creator>JD Wallis</dc:creator>
    <dc:identifier>doi:10.1098/rstb.2002.1099</dc:identifier>
    <dc:source>Philosophical transactions of the Royal Society of London. Series B, Biological sciences, Vol. 357, No. 1424. (29 August 2002), pp. 1123-1136.</dc:source>
    <dc:date>2008-05-12T02:59:57-00:00</dc:date>
    <prism:publicationName>Philosophical transactions of the Royal Society of London. Series B, Biological sciences</prism:publicationName>
    <prism:issn>0962-8436</prism:issn>
    <prism:volume>357</prism:volume>
    <prism:number>1424</prism:number>
    <prism:startingPage>1123</prism:startingPage>
    <prism:endingPage>1136</prism:endingPage>
    <prism:category>prefrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/478602">
    <title>An integrative theory of prefrontal cortex function.</title>
    <link>http://www.citeulike.org/user/klouie/article/478602</link>
    <description>&lt;i&gt;Annu Rev Neurosci, Vol. 24 (2001), pp. 167-202.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them. They provide bias signals to other brain structures whose net effect is to guide the flow of activity along neural pathways that establish the proper mappings between inputs, internal states, and outputs needed to perform a given task. We review neurophysiological, neurobiological, neuroimaging, and computational studies that support this theory and discuss its implications as well as further issues to be addressed</description>
    <dc:title>An integrative theory of prefrontal cortex function.</dc:title>

    <dc:creator>EK Miller</dc:creator>
    <dc:creator>JD Cohen</dc:creator>
    <dc:identifier>doi:10.1146/annurev.neuro.24.1.167</dc:identifier>
    <dc:source>Annu Rev Neurosci, Vol. 24 (2001), pp. 167-202.</dc:source>
    <dc:date>2006-01-23T23:03:09-00:00</dc:date>
    <prism:publicationName>Annu Rev Neurosci</prism:publicationName>
    <prism:issn>0147-006X</prism:issn>
    <prism:volume>24</prism:volume>
    <prism:startingPage>167</prism:startingPage>
    <prism:endingPage>202</prism:endingPage>
    <prism:category>prefrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/472847">
    <title>The prefrontal cortex and cognitive control.</title>
    <link>http://www.citeulike.org/user/klouie/article/472847</link>
    <description>&lt;i&gt;Nat Rev Neurosci, Vol. 1, No. 1. (October 2000), pp. 59-65.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;One of the enduring mysteries of brain function concerns the process of cognitive control. How does complex and seemingly willful behaviour emerge from interactions between millions of neurons? This has long been suspected to depend on the prefrontal cortex--the neocortex at the anterior end of the brain--but now we are beginning to uncover its neural basis. Nearly all intended behaviour is learned and so depends on a cognitive system that can acquire and implement the 'rules of the game' needed to achieve a given goal in a given situation. Studies indicate that the prefrontal cortex is central in this process. It provides an infrastructure for synthesizing a diverse range of information that lays the foundation for the complex forms of behaviour observed in primates.</description>
    <dc:title>The prefrontal cortex and cognitive control.</dc:title>

    <dc:creator>EK Miller</dc:creator>
    <dc:source>Nat Rev Neurosci, Vol. 1, No. 1. (October 2000), pp. 59-65.</dc:source>
    <dc:date>2006-01-20T19:33:26-00:00</dc:date>
    <prism:publicationName>Nat Rev Neurosci</prism:publicationName>
    <prism:issn>1471-003X</prism:issn>
    <prism:volume>1</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>59</prism:startingPage>
    <prism:endingPage>65</prism:endingPage>
    <prism:category>prefrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2786241">
    <title>The prefrontal cortex: complex neural properties for complex behavior.</title>
    <link>http://www.citeulike.org/user/klouie/article/2786241</link>
    <description>&lt;i&gt;Neuron, Vol. 22, No. 1. (January 1999), pp. 15-17.&lt;/i&gt;</description>
    <dc:title>The prefrontal cortex: complex neural properties for complex behavior.</dc:title>

    <dc:creator>EK Miller</dc:creator>
    <dc:source>Neuron, Vol. 22, No. 1. (January 1999), pp. 15-17.</dc:source>
    <dc:date>2008-05-12T02:52:22-00:00</dc:date>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:issn>0896-6273</prism:issn>
    <prism:volume>22</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>15</prism:startingPage>
    <prism:endingPage>17</prism:endingPage>
    <prism:category>prefrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2786240">
    <title>Architecture of the prefrontal cortex and the central executive.</title>
    <link>http://www.citeulike.org/user/klouie/article/2786240</link>
    <description>&lt;i&gt;Annals of the New York Academy of Sciences, Vol. 769 (15 December 1995), pp. 71-83.&lt;/i&gt;</description>
    <dc:title>Architecture of the prefrontal cortex and the central executive.</dc:title>

    <dc:creator>PS Goldman-Rakic</dc:creator>
    <dc:source>Annals of the New York Academy of Sciences, Vol. 769 (15 December 1995), pp. 71-83.</dc:source>
    <dc:date>2008-05-12T02:51:09-00:00</dc:date>
    <prism:publicationName>Annals of the New York Academy of Sciences</prism:publicationName>
    <prism:issn>0077-8923</prism:issn>
    <prism:volume>769</prism:volume>
    <prism:startingPage>71</prism:startingPage>
    <prism:endingPage>83</prism:endingPage>
    <prism:category>prefrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1277499">
    <title>Orbitofrontal Cortex and Its Contribution to Decision-Making.</title>
    <link>http://www.citeulike.org/user/klouie/article/1277499</link>
    <description>&lt;i&gt;Annu Rev Neurosci (6 April 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Damage to orbitofrontal cortex (OFC) produces an unusual pattern of deficits. Patients have intact cognitive abilities but are impaired in making everyday decisions. Here we review anatomical, neuropsychological, and neurophysiological evidence to determine the neuronal mechanisms that might underlie these impairments. We suggest that OFC plays a key role in processing reward: It integrates multiple sources of information regarding the reward outcome to derive a value signal. In effect, OFC calculates how rewarding a reward is. This value signal can then be held in working memory where it can be used by lateral prefrontal cortex to plan and organize behavior toward obtaining the outcome, and by medial prefrontal cortex to evaluate the overall action in terms of its success and the effort that was required. Thus, acting together, these prefrontal areas can ensure that our behavior is most efficiently directed towards satisfying our needs. Expected online publication date for the Annual Review of Neuroscience Volume 30 is June 16, 2007. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.</description>
    <dc:title>Orbitofrontal Cortex and Its Contribution to Decision-Making.</dc:title>

    <dc:creator>Jonathan D Wallis</dc:creator>
    <dc:identifier>doi:10.1146/annurev.neuro.30.051606.094334</dc:identifier>
    <dc:source>Annu Rev Neurosci (6 April 2007)</dc:source>
    <dc:date>2007-05-04T15:29:59-00:00</dc:date>
    <prism:publicationName>Annu Rev Neurosci</prism:publicationName>
    <prism:issn>0147-006X</prism:issn>
    <prism:category>orbitofrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1532678">
    <title>What We Know and Do Not Know about the Functions of the Orbitofrontal Cortex after 20 Years of Cross-Species Studies</title>
    <link>http://www.citeulike.org/user/klouie/article/1532678</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 27, No. 31. (1 August 2007), pp. 8166-8169.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;When Pat Goldman-Rakic described the circuitry and function of primate prefrontal cortex in her influential 1987 monograph (Goldman-Rakic, 1987), she included only a few short paragraphs on the orbitofrontal cortex (OFC). That year, there were only nine papers published containing the term &#34;orbitofrontal,&#34; an average of less than one paper per month. Twenty years later, this rate has increased to 32 papers per month. This explosive growth is partly attributable to the remarkable similarities that exist in structure and function across species. These similarities suggest that OFC function can be usefully modeled in nonhuman and even nonprimate species. Here, we review some of these similarities. 10.1523/JNEUROSCI.1556-07.2007</description>
    <dc:title>What We Know and Do Not Know about the Functions of the Orbitofrontal Cortex after 20 Years of Cross-Species Studies</dc:title>

    <dc:creator>Elisabeth Murray</dc:creator>
    <dc:creator>John O'Doherty</dc:creator>
    <dc:creator>Geoffrey Schoenbaum</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.1556-07.2007</dc:identifier>
    <dc:source>J. Neurosci., Vol. 27, No. 31. (1 August 2007), pp. 8166-8169.</dc:source>
    <dc:date>2007-08-03T09:13:20-00:00</dc:date>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>27</prism:volume>
    <prism:number>31</prism:number>
    <prism:startingPage>8166</prism:startingPage>
    <prism:endingPage>8169</prism:endingPage>
    <prism:category>orbitofrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1532683">
    <title>Functional Specialization of the Primate Frontal Cortex during Decision Making</title>
    <link>http://www.citeulike.org/user/klouie/article/1532683</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 27, No. 31. (1 August 2007), pp. 8170-8173.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Economic theories of decision making are based on the principle of utility maximization, and reinforcement-learning theory provides computational algorithms that can be used to estimate the overall reward expected from alternative choices. These formal models not only account for a large range of behavioral observations in human and animal decision makers, but also provide useful tools for investigating the neural basis of decision making. Nevertheless, in reality, decision makers must combine different types of information about the costs and benefits associated with each available option, such as the quality and quantity of expected reward and required work. In this article, we put forward the hypothesis that different subdivisions of the primate frontal cortex may be specialized to focus on different aspects of dynamic decision-making processes. In this hypothesis, the lateral prefrontal cortex is primarily involved in maintaining the state representation necessary to identify optimal actions in a given environment. In contrast, the orbitofrontal cortex and the anterior cingulate cortex might be primarily involved in encoding and updating the utilities associated with different sensory stimuli and alternative actions, respectively. These cortical areas are also likely to contribute to decision making in a social context. 10.1523/JNEUROSCI.1561-07.2007</description>
    <dc:title>Functional Specialization of the Primate Frontal Cortex during Decision Making</dc:title>

    <dc:creator>Daeyeol Lee</dc:creator>
    <dc:creator>Matthew Rushworth</dc:creator>
    <dc:creator>Mark Walton</dc:creator>
    <dc:creator>Masataka Watanabe</dc:creator>
    <dc:creator>Masamichi Sakagami</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.1561-07.2007</dc:identifier>
    <dc:source>J. Neurosci., Vol. 27, No. 31. (1 August 2007), pp. 8170-8173.</dc:source>
    <dc:date>2007-08-03T09:16:35-00:00</dc:date>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>27</prism:volume>
    <prism:number>31</prism:number>
    <prism:startingPage>8170</prism:startingPage>
    <prism:endingPage>8173</prism:endingPage>
    <prism:category>anatomy</prism:category>
    <prism:category>decisionmaking</prism:category>
    <prism:category>neuroanatomy</prism:category>
    <prism:category>orbitofrontal</prism:category>
    <prism:category>prefrontal</prism:category>
    <prism:category>review</prism:category>
    <prism:category>reward</prism:category>
    <prism:category>value</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2786198">
    <title>Specialized elements of orbitofrontal cortex in primates.</title>
    <link>http://www.citeulike.org/user/klouie/article/2786198</link>
    <description>&lt;i&gt;Annals of the New York Academy of Sciences, Vol. 1121 (December 2007), pp. 10-32.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The orbitofrontal cortex is associated with encoding the significance of stimuli within an emotional context, and its connections can be understood in this light. This large cortical region is architectonically heterogeneous, but its connections and functions can be summarized by a broad grouping of areas by cortical type into posterior and anterior sectors. The posterior (limbic) orbitofrontal region is composed of agranular and dysgranular-type cortices and has unique connections with primary olfactory areas and rich connections with high-order sensory association cortices. Posterior orbitofrontal areas are further distinguished by dense and distinct patterns of connections with the amygdala and memory-related anterior temporal lobe structures that may convey signals about emotional import and their memory. The special sets of connections suggest that the posterior orbitofrontal cortex is the primary region for the perception of emotions. In contrast to orbitofrontal areas, posterior medial prefrontal areas in the anterior cingulate are not multi-modal, but have strong connections with auditory association cortices, brain stem vocalization, and autonomic structures, in pathways that may mediate emotional communication and autonomic activation in emotional arousal. Posterior orbitofrontal areas communicate with anterior orbitofrontal areas and, through feedback projections, with lateral prefrontal and other cortices, suggesting a sequence of information processing for emotions. Pathology in orbitofrontal cortex may remove feedback input to sensory cortices, dissociating emotional context from sensory content and impairing the ability to interpret events.</description>
    <dc:title>Specialized elements of orbitofrontal cortex in primates.</dc:title>

    <dc:creator>H Barbas</dc:creator>
    <dc:identifier>doi:10.1196/annals.1401.015</dc:identifier>
    <dc:source>Annals of the New York Academy of Sciences, Vol. 1121 (December 2007), pp. 10-32.</dc:source>
    <dc:date>2008-05-12T02:41:34-00:00</dc:date>
    <prism:publicationName>Annals of the New York Academy of Sciences</prism:publicationName>
    <prism:issn>0077-8923</prism:issn>
    <prism:volume>1121</prism:volume>
    <prism:startingPage>10</prism:startingPage>
    <prism:endingPage>32</prism:endingPage>
    <prism:category>anatomy</prism:category>
    <prism:category>neuroanatomy</prism:category>
    <prism:category>orbitofrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2786194">
    <title>Definition of the orbital cortex in relation to specific connections with limbic and visceral structures and other cortical regions.</title>
    <link>http://www.citeulike.org/user/klouie/article/2786194</link>
    <description>&lt;i&gt;Annals of the New York Academy of Sciences, Vol. 1121 (December 2007), pp. 54-71.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The orbitofrontal cortex is often defined topographically as the cortex on the ventral surface of the frontal lobe. Unfortunately, this definition is not consistently used, and it obscures distinct connectional and functional systems within the orbital cortex. It is difficult to interpret data on the orbital cortex that do not take these different systems into account. Analysis of cortico-cortical connections between areas in the orbital and medial prefrontal cortex indicate two distinct networks in this region. One system, called the orbital network, involves most of the areas in the central orbital cortex. The other system, has been called the medial prefrontal network, though it is actually more complex, since it includes areas on the medial wall, in the medial orbital cortex, and in the posterolateral orbital cortex. Some areas in the medial orbital cortex are involved in both networks. Connections to other brain areas support the distinction between the networks. The orbital network receives several sensory inputs, from olfactory cortex, taste cortex, somatic sensory association cortex, and visual association cortex, and is connected with multisensory areas in the ventrolateral prefrontal cortex and perirhinal cortex. The medial network has outputs to the hypothalamus and brain stem and connects to a cortical circuit that includes the rostral part of the superior temporal gyrus and dorsal bank of the superior temporal sulcus, the cingulate and retrosplenial cortex, the entorhinal and posterior parahippocampal cortex, and the dorsomedial prefrontal cortex.</description>
    <dc:title>Definition of the orbital cortex in relation to specific connections with limbic and visceral structures and other cortical regions.</dc:title>

    <dc:creator>JL Price</dc:creator>
    <dc:identifier>doi:10.1196/annals.1401.008</dc:identifier>
    <dc:source>Annals of the New York Academy of Sciences, Vol. 1121 (December 2007), pp. 54-71.</dc:source>
    <dc:date>2008-05-12T02:40:16-00:00</dc:date>
    <prism:publicationName>Annals of the New York Academy of Sciences</prism:publicationName>
    <prism:issn>0077-8923</prism:issn>
    <prism:volume>1121</prism:volume>
    <prism:startingPage>54</prism:startingPage>
    <prism:endingPage>71</prism:endingPage>
    <prism:category>anatomy</prism:category>
    <prism:category>neuroanatomy</prism:category>
    <prism:category>orbitofrontal</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1922412">
    <title>Neuroeconomics.</title>
    <link>http://www.citeulike.org/user/klouie/article/1922412</link>
    <description>&lt;i&gt;Annu Rev Psychol (17 September 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;blacksquare, square, filled Abstract Neuroeconomics has further bridged the once disparate fields of economics and psychology. Such convergence is almost exclusively attributable to changes within economics. Neuroeconomics has inspired more change within economics than within psychology because the most important findings in neuroeconomics have posed more of a challenge to the standard economic perspective. Neuroeconomics has primarily challenged the standard economic assumption that decision making is a unitary process-a simple matter of integrated and coherent utility maximization-suggesting instead that it is driven by the interaction between automatic and controlled processes. This article reviews neuroeconomic research in three domains of interest to both economists and psychologists: decision making under risk and uncertainty, intertemporal choice, and social decision making. In addition to reviewing new economic models inspired by this research, we also discuss how neuroeconomics may influence future work in psychology. Expected final online publication date for the Annual Review of Psychology Volume 59 is November 30, 2007. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.</description>
    <dc:title>Neuroeconomics.</dc:title>

    <dc:creator>George Loewenstein</dc:creator>
    <dc:creator>Scott Rick</dc:creator>
    <dc:creator>Jonathan Cohen</dc:creator>
    <dc:identifier>doi:10.1146/annurev.psych.59.103006.093710</dc:identifier>
    <dc:source>Annu Rev Psychol (17 September 2007)</dc:source>
    <dc:date>2007-11-15T13:58:41-00:00</dc:date>
    <prism:publicationName>Annu Rev Psychol</prism:publicationName>
    <prism:issn>0066-4308</prism:issn>
    <prism:category>neuroeconomics</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1075137">
    <title>Expectation of reward modulates cognitive signals in the basal ganglia.</title>
    <link>http://www.citeulike.org/user/klouie/article/1075137</link>
    <description>&lt;i&gt;Nat Neurosci, Vol. 1, No. 5. (September 1998), pp. 411-416.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Action is controlled by both motivation and cognition. The basal ganglia may be the site where these kinds of information meet. Using a memory-guided saccade task with an asymmetric reward schedule, we show that visual and memory responses of caudate neurons are modulated by expectation of reward so profoundly that a neuron's preferred direction often changed with the change in the rewarded direction. The subsequent saccade to the target was earlier and faster for the rewarded direction. Our results indicate that the caudate contributes to the determination of oculomotor outputs by connecting motivational values (for example, expectation of reward) to visual information.</description>
    <dc:title>Expectation of reward modulates cognitive signals in the basal ganglia.</dc:title>

    <dc:creator>R Kawagoe</dc:creator>
    <dc:creator>Y Takikawa</dc:creator>
    <dc:creator>O Hikosaka</dc:creator>
    <dc:identifier>doi:10.1038/1625</dc:identifier>
    <dc:source>Nat Neurosci, Vol. 1, No. 5. (September 1998), pp. 411-416.</dc:source>
    <dc:date>2007-01-29T21:56:50-00:00</dc:date>
    <prism:publicationName>Nat Neurosci</prism:publicationName>
    <prism:issn>1097-6256</prism:issn>
    <prism:volume>1</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>411</prism:startingPage>
    <prism:endingPage>416</prism:endingPage>
    <prism:category>caudate</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
    <prism:category>reward</prism:category>
    <prism:category>saccade</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2763055">
    <title>Reward-dependent gain and bias of visual responses in primate superior colliculus.</title>
    <link>http://www.citeulike.org/user/klouie/article/2763055</link>
    <description>&lt;i&gt;Neuron, Vol. 39, No. 4. (14 August 2003), pp. 693-700.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Eye movements are often influenced by expectation of reward. Using a memory-guided saccade task with an asymmetric reward schedule, we show that visual responses of monkey SC neurons increase when the visual stimulus indicates an upcoming reward. The increase occurred in two distinct manners: (1) reactively, as an increase in the gain of the visual response when the stimulus indicated an upcoming reward; (2) proactively, as an increase in anticipatory activity when reward was expected in the neuron's response field. These effects were observed mostly in saccade-related SC neurons in the deeper layer which would receive inputs from the cortical eye fields and the basal ganglia. These results, together with recent findings, suggest that the gain modulation may be determined by the inputs from both the cortical eye fields and the basal ganglia, whereas the anticipatory bias may be derived mainly from the basal ganglia.</description>
    <dc:title>Reward-dependent gain and bias of visual responses in primate superior colliculus.</dc:title>

    <dc:creator>T Ikeda</dc:creator>
    <dc:creator>O Hikosaka</dc:creator>
    <dc:source>Neuron, Vol. 39, No. 4. (14 August 2003), pp. 693-700.</dc:source>
    <dc:date>2008-05-06T22:49:25-00:00</dc:date>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:issn>0896-6273</prism:issn>
    <prism:volume>39</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>693</prism:startingPage>
    <prism:endingPage>700</prism:endingPage>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
    <prism:category>reward</prism:category>
    <prism:category>saccade</prism:category>
    <prism:category>sc</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/841288">
    <title>Neuroeconomics: cardinal utility in the orbitofrontal cortex?</title>
    <link>http://www.citeulike.org/user/klouie/article/841288</link>
    <description>&lt;i&gt;Curr Biol, Vol. 16, No. 15. (8 August 2006)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Modern economics no longer uses the concept of cardinal utility, which describes the value of a good independently of a comparison with another good. New electrophysiological recordings in primates performing economic choices suggest a neurological substrate for cardinal utility, a finding that economists should perhaps take note of.</description>
    <dc:title>Neuroeconomics: cardinal utility in the orbitofrontal cortex?</dc:title>

    <dc:creator>V Stuphorn</dc:creator>
    <dc:identifier>doi:10.1016/j.cub.2006.07.005</dc:identifier>
    <dc:source>Curr Biol, Vol. 16, No. 15. (8 August 2006)</dc:source>
    <dc:date>2006-09-12T18:59:31-00:00</dc:date>
    <prism:publicationName>Curr Biol</prism:publicationName>
    <prism:issn>0960-9822</prism:issn>
    <prism:volume>16</prism:volume>
    <prism:number>15</prism:number>
    <prism:category>neuroeconomics</prism:category>
    <prism:category>ofc</prism:category>
    <prism:category>review</prism:category>
    <prism:category>reward</prism:category>
    <prism:category>utility</prism:category>
    <prism:category>value</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1134115">
    <title>Feature-based attention in visual cortex.</title>
    <link>http://www.citeulike.org/user/klouie/article/1134115</link>
    <description>&lt;i&gt;Trends Neurosci, Vol. 29, No. 6. (June 2006), pp. 317-322.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Although most studies of visual attention have examined the effects of shifting attention between different locations in the visual field, attention can also be directed to particular visual features, such as a color, orientation or a direction of motion. Single-unit studies have shown that attention to a feature modulates neuronal signals in a range of areas in monkey visual cortex. The location-independent property of feature-based attention makes it particularly well suited to modify selectively the neural representations of stimuli or parts within complex visual scenes that match the currently attended feature. This review is part of the TINS special issue on The Neural Substrates of Cognition.</description>
    <dc:title>Feature-based attention in visual cortex.</dc:title>

    <dc:creator>JH Maunsell</dc:creator>
    <dc:creator>S Treue</dc:creator>
    <dc:identifier>doi:10.1016/j.tins.2006.04.001</dc:identifier>
    <dc:source>Trends Neurosci, Vol. 29, No. 6. (June 2006), pp. 317-322.</dc:source>
    <dc:date>2007-03-01T17:52:53-00:00</dc:date>
    <prism:publicationName>Trends Neurosci</prism:publicationName>
    <prism:issn>0166-2236</prism:issn>
    <prism:volume>29</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>317</prism:startingPage>
    <prism:endingPage>322</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>object_based_attention</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/843521">
    <title>Integration of exogenous input into a dynamic salience map revealed by perturbing attention.</title>
    <link>http://www.citeulike.org/user/klouie/article/843521</link>
    <description>&lt;i&gt;J Neurosci, Vol. 26, No. 36. (6 September 2006), pp. 9239-9249.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Although it is widely accepted that exogenous and voluntary factors jointly determine the locus of attention, the rules governing the integration of these factors are poorly understood. We investigated neural responses in the lateral intraparietal area (LIP) to transient, distracting visual perturbations presented during task performance. Monkeys performed a covert search task in which they discriminated the orientation of a target embedded among distractors, and brief visual perturbations were presented at various moments and locations during task performance. LIP neurons responded to perturbations consisting of the appearance of new objects, as well as to abrupt changes in the color, luminance, or position of existing objects. The LIP response correlated with the bottom-up behavioral effects of different perturbation types. In addition, neurons showed two types of top-down modulations. One modulation was a context-specific multiplicative gain that affected perturbation, target, and distractor activity in a spatially nonspecific manner. Gain was higher in blocks of trials in which perturbations directly marked target location than in blocks in which they invariably appeared opposite the target, thus encoding a behavioral context defined by the statistical contingency between target and perturbation location. A second modulation reflected local competitive interactions with search-related activity, resulting in the converse effect: weaker perturbation-evoked responses if perturbations appeared at the location of the target than if they appeared opposite the target. Thus, LIP encodes an abstract dimension of salience, which is shaped by local and global top-down mechanisms. These interacting mechanisms regulate responsiveness to external input as a function of behavioral context and momentary task demands.</description>
    <dc:title>Integration of exogenous input into a dynamic salience map revealed by perturbing attention.</dc:title>

    <dc:creator>PF Balan</dc:creator>
    <dc:creator>J Gottlieb</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.1898-06.2006</dc:identifier>
    <dc:source>J Neurosci, Vol. 26, No. 36. (6 September 2006), pp. 9239-9249.</dc:source>
    <dc:date>2006-09-14T16:39:44-00:00</dc:date>
    <prism:publicationName>J Neurosci</prism:publicationName>
    <prism:issn>1529-2401</prism:issn>
    <prism:volume>26</prism:volume>
    <prism:number>36</prism:number>
    <prism:startingPage>9239</prism:startingPage>
    <prism:endingPage>9249</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>lip</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
    <prism:category>salience</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1298479">
    <title>Orienting of attention.</title>
    <link>http://www.citeulike.org/user/klouie/article/1298479</link>
    <description>&lt;i&gt;Q J Exp Psychol, Vol. 32, No. 1. (February 1980), pp. 3-25.&lt;/i&gt;</description>
    <dc:title>Orienting of attention.</dc:title>

    <dc:creator>MI Posner</dc:creator>
    <dc:source>Q J Exp Psychol, Vol. 32, No. 1. (February 1980), pp. 3-25.</dc:source>
    <dc:date>2007-05-15T22:44:46-00:00</dc:date>
    <prism:publicationName>Q J Exp Psychol</prism:publicationName>
    <prism:issn>0033-555X</prism:issn>
    <prism:volume>32</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>3</prism:startingPage>
    <prism:endingPage>25</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>lesion</prism:category>
    <prism:category>review</prism:category>
    <prism:category>saccade</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2759128">
    <title>Perceptual and motor processing stages identified in the activity of macaque frontal eye field neurons during visual search.</title>
    <link>http://www.citeulike.org/user/klouie/article/2759128</link>
    <description>&lt;i&gt;Journal of neurophysiology, Vol. 76, No. 6. (December 1996), pp. 4040-4055.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;1. The latency between the appearance of a popout search display and the eye movement to the oddball target of the display varies from trial to trial in both humans and monkeys. The source of the delay and variability of reaction time is unknown but has been attributed to as yet poorly defined decision processes. 2. We recorded neural activity in the frontal eye field (FEF), an area regarded as playing a central role in producing purposeful eye movements, of monkeys (Macaca mulatta) performing a popout visual search task. Eighty-four neurons with visually evoked activity were analyzed. Twelve of these neurons had a phasic response associated with the presentation of the visual stimulus. The remaining neurons had more tonic responses that persisted through the saccade. Many of the neurons with more tonic responses resembled visuomovement cells in that they had activity that increased before a saccade into their response field. 3. The visual response latencies of FEF neurons were determined with the use of a Poisson spike train analysis. The mean visual latency was 67 ms (minimum = 35 ms, maximum = 138 ms). The visual response latencies to the target presented alone, to the target presented with distractors, or to the distractors did not differ significantly. 4. The initial visual activation of FEF neurons does not discriminate the target from the distractors of a popout visual search stimulus array, but the activity evolves to a state that discriminates whether the target of the search display is within the receptive field. We tested the hypothesis that the source of variability of saccade latency is the time taken by neurons involved in saccade programming to select the target for the gaze shift. 5. With the use of an analysis adapted from signal detection theory, we determined when the activity of single FEF neurons can reliably indicate whether the target or distractors are present within their response fields. The time of target discrimination partitions the reaction time into a perceptual stage in which target discrimination takes place, and a motor stage in which saccade programming and generation take place. The time of target discrimination occurred most often between 120 and 150 ms after stimulus presentation. 6. We analyzed the time course of target discrimination in the activity of single cells after separating trials into short, medium, and long saccade latency groups. Saccade latency was not correlated with the duration of the perceptual stage but was correlated with the duration of the motor stage. This result is inconsistent with the hypothesis that the time taken for target discrimination, as indexed by FEF neurons, accounts for the wide variability in the time of movement initiation. 7. We conclude that the variability observed in saccade latencies during a simple visual search task is largely due to postperceptual motor processing following target discrimination. Signatures of both perceptual and postperceptual processing are evident in FEF. Procrastination in the output stage may prevent stereotypical behavior that would be maladaptive in a changing environment.</description>
    <dc:title>Perceptual and motor processing stages identified in the activity of macaque frontal eye field neurons during visual search.</dc:title>

    <dc:creator>KG Thompson</dc:creator>
    <dc:creator>DP Hanes</dc:creator>
    <dc:creator>NP Bichot</dc:creator>
    <dc:creator>JD Schall</dc:creator>
    <dc:source>Journal of neurophysiology, Vol. 76, No. 6. (December 1996), pp. 4040-4055.</dc:source>
    <dc:date>2008-05-05T20:22:50-00:00</dc:date>
    <prism:publicationName>Journal of neurophysiology</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>76</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>4040</prism:startingPage>
    <prism:endingPage>4055</prism:endingPage>
    <prism:category>decisionmaking</prism:category>
    <prism:category>fef</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
    <prism:category>visual_search</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2758756">
    <title>Saccade and blinking evoked by microstimulation of the posterior parietal association cortex of the monkey.</title>
    <link>http://www.citeulike.org/user/klouie/article/2758756</link>
    <description>&lt;i&gt;Experimental brain research. Experimentelle Hirnforschung. Expérimentation cérébrale, Vol. 55, No. 1. (1984), pp. 1-8.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Electrical stimulation with microelectrodes of the posterior parietal association cortex in alert behaving monkeys elicited saccadic eye movements and blinking. The sites in which saccades were elicited by electrical stimulation were concentrated in the anteromedial part of area 7a, especially in the posterior bank of the intraparietal sulcus, in a region which sends efferent projections to the frontal eye field and the superior colliculus, but they were also found in the posterolateral part of area 7a. Compared with the frontal eye fields and the superior colliculus, the threshold current for eliciting saccades was relatively high, on the average 86 microA. Moreover, the elicitation of saccade was inconsistent even with suprathreshold stimulation and suppressed during visual fixation. Latencies of the saccades were relatively long, on the average 50ms; they were longer in the posterolateral part than in the anteromedial part. Direction and amplitude of evoked saccades depended on the site of stimulation, but was independent of eye position in most cases. However, &#34;goal-directed&#34; saccades which depended on initial eye position were elicited in three penetrations in the posterolateral part of area 7a. The threshold of mainly in the lateral part of area 7a. The threshold of blinking was 70 microA and the latency was 50 ms on the average. In contrast to saccades, blinking was elicited constantly with each stimulus even during attentive fixation. We occasionally recorded single unit activity at the site of stimulation with the same electrodes. More than half of the units recorded at the site of blinking responded to approaching visual stimulus.(ABSTRACT TRUNCATED AT 250 WORDS)</description>
    <dc:title>Saccade and blinking evoked by microstimulation of the posterior parietal association cortex of the monkey.</dc:title>

    <dc:creator>H Shibutani</dc:creator>
    <dc:creator>H Sakata</dc:creator>
    <dc:creator>J Hyvärinen</dc:creator>
    <dc:source>Experimental brain research. Experimentelle Hirnforschung. Expérimentation cérébrale, Vol. 55, No. 1. (1984), pp. 1-8.</dc:source>
    <dc:date>2008-05-05T18:35:10-00:00</dc:date>
    <prism:publicationName>Experimental brain research. Experimentelle Hirnforschung. Expérimentation cérébrale</prism:publicationName>
    <prism:issn>0014-4819</prism:issn>
    <prism:volume>55</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>1</prism:startingPage>
    <prism:endingPage>8</prism:endingPage>
    <prism:category>lip</prism:category>
    <prism:category>microstimulation</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
    <prism:category>parietal</prism:category>
    <prism:category>saccade</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2758518">
    <title>Modeling the role of parallel processing in visual search.</title>
    <link>http://www.citeulike.org/user/klouie/article/2758518</link>
    <description>&lt;i&gt;Cognitive psychology, Vol. 22, No. 2. (April 1990), pp. 225-271.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Treisman's Feature Integration Theory and Julesz's Texton Theory explain many aspects of visual search. However, these theories require that parallel processing mechanisms not be used in many visual searches for which they would be useful, and they imply that visual processing should be much slower than it is. Most importantly, they cannot account for recent data showing that some subjects can perform some conjunction searches very efficiently. Feature Integration Theory can be modified so that it accounts for these data and helps to answer these questions. In this new theory, which we call Guided Search, the parallel stage guides the serial stage as it chooses display elements to process. A computer simulation of Guided Search produces the same general patterns as human subjects in a number of different types of visual search.</description>
    <dc:title>Modeling the role of parallel processing in visual search.</dc:title>

    <dc:creator>KR Cave</dc:creator>
    <dc:creator>JM Wolfe</dc:creator>
    <dc:source>Cognitive psychology, Vol. 22, No. 2. (April 1990), pp. 225-271.</dc:source>
    <dc:date>2008-05-05T18:09:33-00:00</dc:date>
    <prism:publicationName>Cognitive psychology</prism:publicationName>
    <prism:issn>0010-0285</prism:issn>
    <prism:volume>22</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>225</prism:startingPage>
    <prism:endingPage>271</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>computational_model</prism:category>
    <prism:category>visual_search</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2752363">
    <title>Deficits of visual attention and saccadic eye movements after lesions of parietooccipital cortex in monkeys.</title>
    <link>http://www.citeulike.org/user/klouie/article/2752363</link>
    <description>&lt;i&gt;Journal of neurophysiology, Vol. 61, No. 1. (January 1989), pp. 74-90.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;1. Visual attention is often profoundly disturbed in humans after damage to the cortex of the posterior parietal lobe, particularly of the minor hemisphere, with some patients being totally unaware of visual stimuli in the hemifield of extrapersonal space contralateral to the cortical damage. This severe form of visual inattention is usually called contralateral neglect and has occasionally been reported following posterior parietal lesions in monkeys. However, in monkeys, only qualitative observations have been published and those reports are not in agreement concerning the severity of the deficit. The present experiments were designed to measure quantitatively the amount of disruption of selective visual attention which is produced by lesions of posterior parietal and parietooccipital cortical lesions in monkeys. 2. Five monkeys were trained to visually fixate and follow with their gaze a small visual stimulus as it suddenly moved varying distances (8, 16, or 24 degrees) from the midline into the left or right visual hemifields. Two animals then received a unilateral cortical lesion limited to the inferior parietal lobule (IPL). Three animals received unilateral lesions which included both the inferior parietal lobule and a portion of adjacent dorsal prestriate cortex (IPL-PS). 3. Visual inattention is commonly divided into two levels of severity. The more severe form, contralateral neglect, is the complete absence of behavioral response to a stimulus in the visual field contralateral to hemisphere damage. The less severe deficit, usually called visual extinction, is a tendency to ignore the contralateral of two visual stimuli when they appear simultaneously and symmetrically placed with respect to the center of the subject's surroundings. The five monkeys in this study were tested on a stimulus paradigm which simultaneously measured the severity of visual neglect and also the amount and duration of visual extinction which were produced by the cortical lesions. 4. All monkeys displayed contralateral visual extinction after unilateral posterior parietal or parietooccipital lesions. Three of the five monkeys showed a reversal of the visual extinction after a second, symmetrical lesion was placed in the opposite hemisphere. No monkey showed evidence of full-blown contralateral neglect after lesions limited to the parietooccipital cortex, either in the formal testing situation or during informal neurological examinations. The severity of the observed inattention did not appear to be related to the size of the cortical lesions.(ABSTRACT TRUNCATED AT 400 WORDS)</description>
    <dc:title>Deficits of visual attention and saccadic eye movements after lesions of parietooccipital cortex in monkeys.</dc:title>

    <dc:creator>JC Lynch</dc:creator>
    <dc:creator>JW McLaren</dc:creator>
    <dc:source>Journal of neurophysiology, Vol. 61, No. 1. (January 1989), pp. 74-90.</dc:source>
    <dc:date>2008-05-04T01:43:17-00:00</dc:date>
    <prism:publicationName>Journal of neurophysiology</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>61</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>74</prism:startingPage>
    <prism:endingPage>90</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>lesion</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neglect</prism:category>
    <prism:category>parietal</prism:category>
    <prism:category>saccade</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1302461">
    <title>A neural basis for visual search in inferior temporal cortex.</title>
    <link>http://www.citeulike.org/user/klouie/article/1302461</link>
    <description>&lt;i&gt;Nature, Vol. 363, No. 6427. (27 May 1993), pp. 345-347.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We often search for a face in a crowd or for a particular object in a cluttered environment. In this type of visual search, memory interacts with attention: the mediating neural mechanisms should include a stored representation of the object and a means for selecting that object from among others in the scene. Here we test whether neurons in inferior temporal cortex, an area known to be important for high-level visual processing, might provide these components. Monkeys were presented with a complex picture (the cue) to hold in memory during a delay period. The cue initiated activity that persisted through the delay among the neurons that were tuned to its features. The monkeys were then given 2-5 choice pictures and were required to make an eye movement to the one (the target) that matched the cue. About 90-120 milliseconds before the onset of the eye movement to the target, responses to non-targets were suppressed and the neuronal response was dominated by the target. The results suggest that inferior temporal cortex is involved in selecting the objects to which we attend and foveate.</description>
    <dc:title>A neural basis for visual search in inferior temporal cortex.</dc:title>

    <dc:creator>L Chelazzi</dc:creator>
    <dc:creator>EK Miller</dc:creator>
    <dc:creator>J Duncan</dc:creator>
    <dc:creator>R Desimone</dc:creator>
    <dc:identifier>doi:10.1038/363345a0</dc:identifier>
    <dc:source>Nature, Vol. 363, No. 6427. (27 May 1993), pp. 345-347.</dc:source>
    <dc:date>2007-05-17T14:56:32-00:00</dc:date>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:volume>363</prism:volume>
    <prism:number>6427</prism:number>
    <prism:startingPage>345</prism:startingPage>
    <prism:endingPage>347</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>it</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
    <prism:category>visual_search</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/264156">
    <title>Visual attention: control, representation, and time course.</title>
    <link>http://www.citeulike.org/user/klouie/article/264156</link>
    <description>&lt;i&gt;Annu Rev Psychol, Vol. 48 (1997), pp. 269-297.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Three central problems in the recent literature on visual attention are reviewed. The first concerns the control of attention by top-down (or goal-directed) and bottom-up (or stimulus-driven) processes. The second concerns the representational basis for visual selection, including how much attention can be said to be location- or object-based. Finally, we consider the time course of attention as it is directed to one stimulus after another.</description>
    <dc:title>Visual attention: control, representation, and time course.</dc:title>

    <dc:creator>HE Egeth</dc:creator>
    <dc:creator>S Yantis</dc:creator>
    <dc:identifier>doi:10.1146/annurev.psych.48.1.269</dc:identifier>
    <dc:source>Annu Rev Psychol, Vol. 48 (1997), pp. 269-297.</dc:source>
    <dc:date>2005-07-25T15:11:00-00:00</dc:date>
    <prism:publicationName>Annu Rev Psychol</prism:publicationName>
    <prism:issn>0066-4308</prism:issn>
    <prism:volume>48</prism:volume>
    <prism:startingPage>269</prism:startingPage>
    <prism:endingPage>297</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>bottom_up</prism:category>
    <prism:category>_note</prism:category>
    <prism:category>object_based_attention</prism:category>
    <prism:category>review</prism:category>
    <prism:category>top_down</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/773639">
    <title>Neural mechanisms of selective visual attention.</title>
    <link>http://www.citeulike.org/user/klouie/article/773639</link>
    <description>&lt;i&gt;Annu Rev Neurosci, Vol. 18 (1995), pp. 193-222.&lt;/i&gt;</description>
    <dc:title>Neural mechanisms of selective visual attention.</dc:title>

    <dc:creator>R Desimone</dc:creator>
    <dc:creator>J Duncan</dc:creator>
    <dc:identifier>doi:10.1146/annurev.ne.18.030195.001205</dc:identifier>
    <dc:source>Annu Rev Neurosci, Vol. 18 (1995), pp. 193-222.</dc:source>
    <dc:date>2006-07-25T19:54:27-00:00</dc:date>
    <prism:publicationName>Annu Rev Neurosci</prism:publicationName>
    <prism:issn>0147-006X</prism:issn>
    <prism:volume>18</prism:volume>
    <prism:startingPage>193</prism:startingPage>
    <prism:endingPage>222</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1398481">
    <title>Fundamental Components of Attention.</title>
    <link>http://www.citeulike.org/user/klouie/article/1398481</link>
    <description>&lt;i&gt;Annu Rev Neurosci (6 April 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;A mechanistic understanding of attention is necessary for the elucidation of the neurobiological basis of conscious experience. This chapter presents a framework for thinking about attention that facilitates the analysis of this cognitive process in terms of underlying neural mechanisms. Four processes are fundamental to attention: working memory, top-down sensitivity control, competitive selection, and automatic bottom-up filtering for salient stimuli. Each process makes a distinct and essential contribution to attention. Voluntary control of attention involves the first three processes (working memory, top-down sensitivity control, and competitive selection) operating in a recurrent loop. Recent results from neurobiological research on attention are discussed within this framework. Expected online publication date for the Annual Review of Neuroscience Volume 30 is June 16, 2007. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.</description>
    <dc:title>Fundamental Components of Attention.</dc:title>

    <dc:creator>Eric I Knudsen</dc:creator>
    <dc:identifier>doi:10.1146/annurev.neuro.30.051606.094256</dc:identifier>
    <dc:source>Annu Rev Neurosci (6 April 2007)</dc:source>
    <dc:date>2007-06-19T12:19:53-00:00</dc:date>
    <prism:publicationName>Annu Rev Neurosci</prism:publicationName>
    <prism:issn>0147-006X</prism:issn>
    <prism:category>attention</prism:category>
    <prism:category>bottom_up</prism:category>
    <prism:category>_note</prism:category>
    <prism:category>review</prism:category>
    <prism:category>salience</prism:category>
    <prism:category>top_down</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2739352">
    <title>Covert orienting of attention in macaques. II. Contributions of parietal cortex.</title>
    <link>http://www.citeulike.org/user/klouie/article/2739352</link>
    <description>&lt;i&gt;Journal of neurophysiology, Vol. 74, No. 2. (August 1995), pp. 698-712.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;1. To understand some of the contributions of parietal cortex to the dynamics of visual spatial attention, we recorded from cortical cells of monkeys performing attentional tasks. We studied 484 neurons in the intraparietal sulcus and adjacent gyral tissue of two monkeys. We measured phasic responses to peripheral visual stimuli while the monkeys attended toward or away from the stimuli or when attention was not controlled. Neurons were tested while the monkeys gazed at a spot of light (simple fixation task), actively attended to a foveal target (foveal attention task), performed a reaction time task (cued reaction time task), made saccadic eye movements to visual targets (saccade task), or responded to a repetitious peripheral target (probability task). 2. In a previous paper we demonstrated that monkeys, like humans, responded more quickly to visual targets when the targets followed briefly flashed visual cues (validly cued targets) (Bowman et al. 1993). It has been hypothesized that the cue attracts attention to its locus and results in faster reaction times (Posner 1980). In the present physiological studies, visual cues consistently excited these neurons when they were flashed in the receptive field. Such activity might signal a shift of attention. Visual targets that fell within the receptive field and that immediately followed the cue evoked relatively weak responses. This response was due to a relative refractory period. 3. Next we tested attentional processes in these tasks that were independent of the visual response to the cue. We placed the cue outside of the receptive field and the target within the receptive field. We found that 23% of these cells had a significant decrease in their firing rate to validly cued targets in their receptive fields under these conditions. Strong responses were evoked by the same target when the cue was flashed in the opposite hemifield (invalidly cued targets). Thus this group of neurons responded best when attention was directed toward the opposite hemifield. 4. For another group of parietal cells (13%) there was an enhanced response to targets in the visual receptive field when the cue was in the same hemifield. For the remaining 64% of the cells there was no significant modulation in this task. 5. The cued reaction time task involved exogenous control of attention; the sensory cue gave spatial and temporal direction to attention. We used several other tasks to test for endogenous control of attention.(ABSTRACT TRUNCATED AT 400 WORDS)</description>
    <dc:title>Covert orienting of attention in macaques. II. Contributions of parietal cortex.</dc:title>

    <dc:creator>DL Robinson</dc:creator>
    <dc:creator>EM Bowman</dc:creator>
    <dc:creator>C Kertzman</dc:creator>
    <dc:source>Journal of neurophysiology, Vol. 74, No. 2. (August 1995), pp. 698-712.</dc:source>
    <dc:date>2008-04-30T18:11:53-00:00</dc:date>
    <prism:publicationName>Journal of neurophysiology</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>74</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>698</prism:startingPage>
    <prism:endingPage>712</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>lip</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2739335">
    <title>Covert orienting of attention in macaques. I. Effects of behavioral context.</title>
    <link>http://www.citeulike.org/user/klouie/article/2739335</link>
    <description>&lt;i&gt;Journal of neurophysiology, Vol. 70, No. 1. (July 1993), pp. 431-443.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;1. A task was used by Posner (1980) to measure shifts of attention that occurred covertly, in the absence of an eye movement or other orienting response. This paradigm was used here to assess the nature of covert attentional orienting in monkeys to develop an animal model for neurophysiological studies. Shifts of attention were measurable in monkeys and were consistent across a variety of experimental conditions. 2. The paradigm required that monkeys fixate and release a bar at the appearance of a target, which was preceded by a cue. Reaction times to targets that followed peripheral cues at the same location (validly cued) were significantly faster than those that followed cues in the opposite visual field (invalidly cued). This difference was defined as the validity effect, which as in humans, is used as the measure of a covert attentional shift. 3. When the proportion of validly to invalidly cued targets was decreased, no change was seen in the validity effect of the monkeys. This is in contrast to humans, for whom the ratio of validly to invalidly cued targets affected the magnitude of the validity effect. When 80% of the targets were preceded by cues at the same location, the validity effect was greatest. The effect was reversed when the proportions were reversed. From this result, it is concluded that cognitive processes can affect covert orienting to peripheral cues in humans, whereas in trained monkeys, performance was automatic. 4. To test whether cognitive influences on attention could be demonstrated in the monkey, an animal was taught to use symbolic, foveal signals to covertly direct attention. The magnitude of this validity effect was greater than that obtained with peripheral cues. 5. The effects of motivational and perceptual processes were tested. Although overall reaction times could be modified, the facilitating effects of the cues persisted. This constancy across motivational and perceptual levels supports the notion that the monkeys were performing the task in an automatic way, under the exogenous control of peripheral cues. 6. Most visual cuing has been tested with visual landmarks at the locations of cues and targets. These monkeys were trained with such landmarks, and when tested without them, the attentional effect of the cues was nearly abolished. These data suggest that local visual features can be important for covert orienting. 7. To determine the spatial extent of the effect of the cue, monkeys and humans were tested with four cue-target distances (0-60 degrees).(ABSTRACT TRUNCATED AT 400 WORDS)</description>
    <dc:title>Covert orienting of attention in macaques. I. Effects of behavioral context.</dc:title>

    <dc:creator>EM Bowman</dc:creator>
    <dc:creator>VJ Brown</dc:creator>
    <dc:creator>C Kertzman</dc:creator>
    <dc:creator>U Schwarz</dc:creator>
    <dc:creator>DL Robinson</dc:creator>
    <dc:source>Journal of neurophysiology, Vol. 70, No. 1. (July 1993), pp. 431-443.</dc:source>
    <dc:date>2008-04-30T18:02:38-00:00</dc:date>
    <prism:publicationName>Journal of neurophysiology</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>70</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>431</prism:startingPage>
    <prism:endingPage>443</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>reaction_time</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2739051">
    <title>Visual orienting and alerting in rhesus monkeys: comparison with humans.</title>
    <link>http://www.citeulike.org/user/klouie/article/2739051</link>
    <description>&lt;i&gt;Behavioural brain research, Vol. 82, No. 1. (December 1996), pp. 103-112.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The behavioral capacities of the rhesus monkey for several sensory and cognitive tasks appear quite similar to those of humans. To evaluate the monkey's attentional capacities, we have compared monkey and human performance on a visuospatial attentional task, the cued target detection (CTD) paradigm. Animals were trained to fixate a small spot of light while a cue and a subsequent target, are flashed in the visual periphery. In valid trials, the cue and target appeared in the same spatial location; in invalid trials, the cue and target appeared in the opposite location; in double trials, two cues were presented and the target appeared in one of their locations; in no-cue trials, the cue was omitted and the target appeared in one location. In addition, we varied cognitive control over the task initiation by making the trial onset either self-paced or computer-paced. Reaction times (RTs) to target presentation, response accuracy, and frequency of aborted trials were measured for all subjects. No significant species differences were found for the patterns of RTs for different trial types or for attentional dynamics, as indexed by the decreases in RT with increasing cue-target interval. However, humans and non-human primates reacted differently to changes in cognitive control. Humans shows significant increases in no-cue trial RTs in the auto-paced task compared to the self-paced, but no differences in overall RT between tasks; monkeys showed a significant faster overall RT for the self-paced than the computer-paced task, but no difference between no-cue RTs. The performance differences between species may be related to the training history of the animals or to known anatomical differences in cortical organization, especially in the parietal lobe.</description>
    <dc:title>Visual orienting and alerting in rhesus monkeys: comparison with humans.</dc:title>

    <dc:creator>EA Witte</dc:creator>
    <dc:creator>M Villareal</dc:creator>
    <dc:creator>RT Marrocco</dc:creator>
    <dc:source>Behavioural brain research, Vol. 82, No. 1. (December 1996), pp. 103-112.</dc:source>
    <dc:date>2008-04-30T15:56:16-00:00</dc:date>
    <prism:publicationName>Behavioural brain research</prism:publicationName>
    <prism:issn>0166-4328</prism:issn>
    <prism:volume>82</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>103</prism:startingPage>
    <prism:endingPage>112</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>psychophysics</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2739048">
    <title>Attention and the detection of signals.</title>
    <link>http://www.citeulike.org/user/klouie/article/2739048</link>
    <description>&lt;i&gt;Journal of experimental psychology, Vol. 109, No. 2. (June 1980), pp. 160-174.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Detection of a visual signal requires information to reach a system capable of eliciting arbitrary responses required by the experimenter. Detection latencies are reduced when subjects receive a cue that indicates where in the visual field the signal will occur. This shift in efficiency appears to be due to an alignment (orienting) of the central attentional system with the pathways to be activated by the visual input. It would also be possible to describe these results as being due to a reduced criterion at the expected target position. However, this description ignores important constraints about the way in which expectancy improves performance. First, when subjects are cued on each trial, they show stronger expectancy effects than when a probable position is held constant for a block, indicating the active nature of the expectancy. Second, while information on spatial position improves performance, information on the form of the stimulus does not. Third, expectancy may lead to improvements in latency without a reduction in accuracy. Fourth, there appears to be little ability to lower the criterion at two positions that are not spatially contiguous. A framework involving the employment of a limited-capacity attentional mechanism seems to capture these constraints better than the more general language of criterion setting. Using this framework, we find that attention shifts are not closely related to the saccadic eye movement system. For luminance detection the retina appears to be equipotential with respect to attention shifts, since costs to unexpected stimuli are similar whether foveal or peripheral. These results appear to provide an important model system for the study of the relationship between attention and the structure of the visual system.</description>
    <dc:title>Attention and the detection of signals.</dc:title>

    <dc:creator>MI Posner</dc:creator>
    <dc:creator>CR Snyder</dc:creator>
    <dc:creator>BJ Davidson</dc:creator>
    <dc:source>Journal of experimental psychology, Vol. 109, No. 2. (June 1980), pp. 160-174.</dc:source>
    <dc:date>2008-04-30T15:51:46-00:00</dc:date>
    <prism:publicationName>Journal of experimental psychology</prism:publicationName>
    <prism:issn>0022-1015</prism:issn>
    <prism:volume>109</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>160</prism:startingPage>
    <prism:endingPage>174</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>psychophysics</prism:category>
    <prism:category>reaction_time</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2738847">
    <title>Response of neurons in the lateral intraparietal area to a distractor flashed during the delay period of a memory-guided saccade.</title>
    <link>http://www.citeulike.org/user/klouie/article/2738847</link>
    <description>&lt;i&gt;Journal of neurophysiology, Vol. 84, No. 1. (July 2000), pp. 301-310.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Recent experiments raised the possibility that the lateral intraparietal area (LIP) might be specialized for saccade planning. If this was true, one would expect a decreased sensitivity to irrelevant visual stimuli appearing late in the delay period of a memory-guided delayed-saccade task to a target outside the neurons' receptive fields. We trained two monkeys to perform a standard memory-guided delayed-saccade task and a distractor task in which a stimulus flashed for 200 ms at a predictable time 300-100 ms before the end of the delay period. We used two locations, one in the most active part of the receptive field and another well outside the receptive field. We used six kinds of trials randomly intermixed: simple delayed-saccade trials into or away from the receptive field and distractor trials with saccade target and distractor both in the receptive field, both out of the receptive field, or one at each location. This enabled us to study the response to the distractor as a function of the monkey's preparation of a memory-guided delayed-saccade task. We had assumed that the preparation of a saccade away from the receptive field would result in an attenuation of the response to the distractor, i.e., a distractor at the location of the saccade goal would evoke a greater response than when it appeared at a location far from the saccade goal. Instead we found that neurons exhibited either a normal or an enhanced visual response to the distractor during the memory period when the target flashed outside the receptive field. When the distractor flashed at the location of the saccade target, the response to the distractor was either unchanged or diminished. The response to a distractor away from the target location of a memory-guided saccade was even greater than the response to the same target when it was the target for the memory-guided saccade task. Immediate presaccadic activity did not distinguish between a saccade to the receptive field when there was no distractor and a distractor in the receptive field when the monkey made a saccade elsewhere. Nonetheless the distractor had no significant effect on the saccade latency, accuracy, or velocity despite the brisk response it evoked immediately before the saccade. We suggest that these results are inconsistent with a role for LIP in the specific generation of saccades, but they are consistent with a role for LIP in the generation of visual attention.</description>
    <dc:title>Response of neurons in the lateral intraparietal area to a distractor flashed during the delay period of a memory-guided saccade.</dc:title>

    <dc:creator>KD Powell</dc:creator>
    <dc:creator>ME Goldberg</dc:creator>
    <dc:source>Journal of neurophysiology, Vol. 84, No. 1. (July 2000), pp. 301-310.</dc:source>
    <dc:date>2008-04-30T14:51:07-00:00</dc:date>
    <prism:publicationName>Journal of neurophysiology</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>84</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>301</prism:startingPage>
    <prism:endingPage>310</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>lip</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
    <prism:category>saccade</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2713431">
    <title>The locus of attentional effects in texture segmentation.</title>
    <link>http://www.citeulike.org/user/klouie/article/2713431</link>
    <description>&lt;i&gt;Nature neuroscience, Vol. 3, No. 6. (June 2000), pp. 622-627.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Cuing covert spatial attention can increase spatial resolution. Here we pinpointed the specific locus of this effect using texture segmentation. At the level of visual cortex, texture segmentation theoretically involves passage of visual input through two layers of spatial linear filters separated by a pointwise nonlinearity. By manipulating the textures to differentially stimulate first- or second-order filters of various scales, we showed that the attentional effect consistently varied with the latter. These psychophysical results further support the hypothesis that attention increases resolution at the attended location and are consistent with an effect of attention at stages as early as the primary visual cortex.</description>
    <dc:title>The locus of attentional effects in texture segmentation.</dc:title>

    <dc:creator>Y Yeshurun</dc:creator>
    <dc:creator>M Carrasco</dc:creator>
    <dc:identifier>doi:10.1038/75804</dc:identifier>
    <dc:source>Nature neuroscience, Vol. 3, No. 6. (June 2000), pp. 622-627.</dc:source>
    <dc:date>2008-04-24T16:09:34-00:00</dc:date>
    <prism:publicationName>Nature neuroscience</prism:publicationName>
    <prism:issn>1097-6256</prism:issn>
    <prism:volume>3</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>622</prism:startingPage>
    <prism:endingPage>627</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>human</prism:category>
    <prism:category>psychophysics</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1301566">
    <title>Attention improves or impairs visual performance by enhancing spatial resolution.</title>
    <link>http://www.citeulike.org/user/klouie/article/1301566</link>
    <description>&lt;i&gt;Nature, Vol. 396, No. 6706. (5 November 1998), pp. 72-75.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Covert attention, the selective processing of visual information at a given location in the absence of eye movements, improves performance in several tasks, such as visual search and detection of luminance and vernier targets. An important unsettled issue is whether this improvement is due to a reduction in noise (internal or external), a change in decisional criteria, or signal enhancement. Here we show that attention can affect performance by signal enhancement. For a texture segregation task in which performance is actually diminished when spatial resolution is too high, we observed that attention improved performance at peripheral locations where spatial resolution was too low, but impaired performance at central locations where spatial resolution was too high. The counterintuitive impairment of performance that we found at the central retinal locations appears to have only one possible explanation: attention enhances spatial resolution.</description>
    <dc:title>Attention improves or impairs visual performance by enhancing spatial resolution.</dc:title>

    <dc:creator>Y Yeshurun</dc:creator>
    <dc:creator>M Carrasco</dc:creator>
    <dc:identifier>doi:10.1038/23936</dc:identifier>
    <dc:source>Nature, Vol. 396, No. 6706. (5 November 1998), pp. 72-75.</dc:source>
    <dc:date>2007-05-17T09:16:24-00:00</dc:date>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:volume>396</prism:volume>
    <prism:number>6706</prism:number>
    <prism:startingPage>72</prism:startingPage>
    <prism:endingPage>75</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>human</prism:category>
    <prism:category>psychophysics</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2712973">
    <title>Perceptual Decisions between Multiple Directions of Visual Motion</title>
    <link>http://www.citeulike.org/user/klouie/article/2712973</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 28, No. 17. (23 April 2008), pp. 4435-4445.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Previous studies and models of perceptual decision making have largely focused on binary choices. However, we often have to choose from multiple alternatives. To study the neural mechanisms underlying multialternative decision making, we have asked human subjects to make perceptual decisions between multiple possible directions of visual motion. Using a multicomponent version of the random-dot stimulus, we were able to control experimentally how much sensory evidence we wanted to provide for each of the possible alternatives. We demonstrate that this task provides a rich quantitative dataset for multialternative decision making, spanning a wide range of accuracy levels and mean response times. We further present a computational model that can explain the structure of our behavioral dataset. It is based on the idea of a race between multiple integrators to a decision threshold. Each of these integrators accumulates net sensory evidence for a particular choice, provided by linear combinations of the activities of decision-relevant pools of sensory neurons. 10.1523/JNEUROSCI.5564-07.2008</description>
    <dc:title>Perceptual Decisions between Multiple Directions of Visual Motion</dc:title>

    <dc:creator>Mamiko Niwa</dc:creator>
    <dc:creator>Jochen Ditterich</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.5564-07.2008</dc:identifier>
    <dc:source>J. Neurosci., Vol. 28, No. 17. (23 April 2008), pp. 4435-4445.</dc:source>
    <dc:date>2008-04-24T13:06:21-00:00</dc:date>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>28</prism:volume>
    <prism:number>17</prism:number>
    <prism:startingPage>4435</prism:startingPage>
    <prism:endingPage>4445</prism:endingPage>
    <prism:category>computational_model</prism:category>
    <prism:category>decisionmaking</prism:category>
    <prism:category>human</prism:category>
    <prism:category>motion</prism:category>
    <prism:category>multiple_alternative</prism:category>
    <prism:category>perception</prism:category>
    <prism:category>psychophysics</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2712965">
    <title>Low-Serotonin Levels Increase Delayed Reward Discounting in Humans</title>
    <link>http://www.citeulike.org/user/klouie/article/2712965</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 28, No. 17. (23 April 2008), pp. 4528-4532.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Previous animal experiments have shown that serotonin is involved in the control of impulsive choice, as characterized by high preference for small immediate rewards over larger delayed rewards. Previous human studies under serotonin manipulation, however, have been either inconclusive on the effect on impulsivity or have shown an effect in the speed of action-reward learning or the optimality of action choice. Here, we manipulated central serotonergic levels of healthy volunteers by dietary tryptophan depletion and loading. Subjects performed a &#34;dynamic&#34; delayed reward choice task that required a continuous update of the reward value estimates to maximize total gain. By using a computational model of delayed reward choice learning, we estimated the parameters governing the subjects' reward choices in low-, normal, and high-serotonin conditions. We found an increase of proportion in small reward choices, together with an increase in the rate of discounting of delayed rewards in the low-serotonin condition compared with the control and high-serotonin conditions. There were no significant differences between conditions in the speed of learning of the estimated delayed reward values or in the variability of reward choice. Therefore, in line with previous animal experiments, our results show that low-serotonin levels steepen delayed reward discounting in humans. The combined results of our previous and current studies suggest that serotonin may adjust the rate of delayed reward discounting via the modulation of specific loops in parallel corticobasal ganglia circuits. 10.1523/JNEUROSCI.4982-07.2008</description>
    <dc:title>Low-Serotonin Levels Increase Delayed Reward Discounting in Humans</dc:title>

    <dc:creator>Nicolas Schweighofer</dc:creator>
    <dc:creator>Mathieu Bertin</dc:creator>
    <dc:creator>Kazuhiro Shishida</dc:creator>
    <dc:creator>Yasumasa Okamoto</dc:creator>
    <dc:creator>Saori Tanaka</dc:creator>
    <dc:creator>Shigeto Yamawaki</dc:creator>
    <dc:creator>Kenji Doya</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.4982-07.2008</dc:identifier>
    <dc:source>J. Neurosci., Vol. 28, No. 17. (23 April 2008), pp. 4528-4532.</dc:source>
    <dc:date>2008-04-24T13:04:57-00:00</dc:date>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>28</prism:volume>
    <prism:number>17</prism:number>
    <prism:startingPage>4528</prism:startingPage>
    <prism:endingPage>4532</prism:endingPage>
    <prism:category>discounting</prism:category>
    <prism:category>human</prism:category>
    <prism:category>reinforcement_learning</prism:category>
    <prism:category>reward</prism:category>
    <prism:category>serotonin</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2548277">
    <title>Lateral presynaptic inhibition mediates gain control in an olfactory circuit</title>
    <link>http://www.citeulike.org/user/klouie/article/2548277</link>
    <description>&lt;i&gt;Nature (16 March 2008)&lt;/i&gt;</description>
    <dc:title>Lateral presynaptic inhibition mediates gain control in an olfactory circuit</dc:title>

    <dc:creator>Shawn Olsen</dc:creator>
    <dc:creator>Rachel Wilson</dc:creator>
    <dc:identifier>doi:10.1038/nature06864</dc:identifier>
    <dc:source>Nature (16 March 2008)</dc:source>
    <dc:date>2008-03-18T04:25:40-00:00</dc:date>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>drosophila</prism:category>
    <prism:category>gain_control</prism:category>
    <prism:category>inhibition</prism:category>
    <prism:category>lateral_inhibition</prism:category>
    <prism:category>olfaction</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/853140">
    <title>Neural Correlates of Attention and Distractibility in the Lateral Intraparietal Area</title>
    <link>http://www.citeulike.org/user/klouie/article/853140</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 95, No. 3. (1 March 2006), pp. 1696-1717.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We examined the activity of neurons in the lateral intraparietal area (LIP) during a task in which we measured attention in the monkey, using an advantage in contrast sensitivity as our definition of attention. The animals planned a memory-guided saccade but made or canceled it depending on the orientation of a briefly flashed probe stimulus. We measured the monkeys' contrast sensitivity by varying the contrast of the probe. Both subjects had better thresholds at the goal of the saccade than elsewhere. If a task-irrelevant distractor flashed elsewhere in the visual field, the attentional advantage transiently shifted to that site. The population response in LIP correlated with the allocation of attention; the attentional advantage lay at the location in the visual field whose representation in LIP had the greatest activity when the probe appeared. During a brief period in which there were two equally active regions in LIP, there was no attentional advantage at either location. This time, the crossing point, differed in the two animals, proving a strong correlation between the activity and behavior. The crossing point of each neuron depended on the relationship of three parameters: the visual response to the distractor, the saccade-related delay activity, and the rate of decay of the transient response to the distractor. Thus the time at which attention lingers on a distractor is set by the mechanism underlying these three biophysical properties. Finally, we showed that for a brief time LIP neurons showed a stronger response to signal canceling the planned saccade than to the confirmation signal. 10.1152/jn.00848.2005</description>
    <dc:title>Neural Correlates of Attention and Distractibility in the Lateral Intraparietal Area</dc:title>

    <dc:creator>James Bisley</dc:creator>
    <dc:creator>Michael Goldberg</dc:creator>
    <dc:identifier>doi:10.1152/jn.00848.2005</dc:identifier>
    <dc:source>J Neurophysiol, Vol. 95, No. 3. (1 March 2006), pp. 1696-1717.</dc:source>
    <dc:date>2006-09-21T14:48:31-00:00</dc:date>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:volume>95</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>1696</prism:startingPage>
    <prism:endingPage>1717</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>lip</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2697833">
    <title>Radiographic changes in the hands and fingers of young, high-level climbers.</title>
    <link>http://www.citeulike.org/user/klouie/article/2697833</link>
    <description>&lt;i&gt;The American journal of sports medicine, Vol. 32, No. 7. (v 2004), pp. 1688-1694.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;BACKGROUND: In the past few years, competition climbing has grown in popularity, and younger people are being drawn to the sport. HYPOTHESIS: Although the radiographic changes in long-term climbers are known, there are little data available on young climbers. The question arises as to whether climbing at high levels at a young age leads to radiographic changes and possibly an early onset of osteoarthrosis in the finger joints. STUDY DESIGN: Cross-sectional study. METHODS: Nineteen members of the German Junior National Team and 18 recreational climbers were examined clinically and through radiographs. For comparison, radiographs of 12 young nonclimbers (control group) were collected. Radiographs were evaluated using a standard protocol. For evaluation of the physiologic adaptation, the cortical thickness of the middle phalanx and the Barnett Nordin index were analyzed. The results were compared between the 3 groups and against radiographs of 140 long-term, experienced climbers. RESULTS: Six climbers (32%) of the German Junior National Team presented a decreased range of motion for the small finger joints; none of the recreational climbers showed this decrease. In 47% of the German Junior National Team and 28% of the recreational climbers, stress reactions could be found: cortical hypertrophy (26% German Junior National Team, 11% recreational climbers), subchondral sclerosis (47% German Junior National Team, 6% recreational climbers), broadened base of the proximal interphalangeal joint (42% German Junior National Team, 28% recreational climbers), and broadened base of the distal interphalangeal joint (16% German Junior National Team, 0 recreational climbers). Signs of an early stage of osteoarthrosis were seen in 1 climber in each group. The control group showed no radiologic abnormalities. The Barnett Nordin index was 0.49 +/- 0.05 in German Junior National Team, 0.49 +/- 0.07 in recreational climbers, and 0.48 +/- 0.08 in the control group. There was no statistically significant difference on the Barnett Nordin index between the groups (German Junior National Team/recreational climbers: P = .89; German Junior National Team/control group: P = .58; recreational climbers/control group: P = .55). CONCLUSIONS: Intensive training and climbing lead to adaptive reactions; nevertheless, osteoarthrotic changes are rare.</description>
    <dc:title>Radiographic changes in the hands and fingers of young, high-level climbers.</dc:title>

    <dc:creator>V Schöffl</dc:creator>
    <dc:creator>T Hochholzer</dc:creator>
    <dc:creator>A Imhoff</dc:creator>
    <dc:source>The American journal of sports medicine, Vol. 32, No. 7. (v 2004), pp. 1688-1694.</dc:source>
    <dc:date>2008-04-21T18:51:44-00:00</dc:date>
    <prism:publicationName>The American journal of sports medicine</prism:publicationName>
    <prism:issn>0363-5465</prism:issn>
    <prism:volume>32</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>1688</prism:startingPage>
    <prism:endingPage>1694</prism:endingPage>
    <prism:category>climbing</prism:category>
    <prism:category>medicine</prism:category>
    <prism:category>osteoarthritis</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/913443">
    <title>Factors influencing osteological changes in the hands and fingers of rock climbers</title>
    <link>http://www.citeulike.org/user/klouie/article/913443</link>
    <description>&lt;i&gt;Journal of Anatomy, Vol. 209, No. 5. (November 2006), pp. 597-609.&lt;/i&gt;</description>
    <dc:title>Factors influencing osteological changes in the hands and fingers of rock climbers</dc:title>

    <dc:creator>Sylvester</dc:creator>
    <dc:creator>D Adam</dc:creator>
    <dc:creator>Christensen</dc:creator>
    <dc:creator>M Angi</dc:creator>
    <dc:creator>Kramer</dc:creator>
    <dc:creator>A Patricia</dc:creator>
    <dc:identifier>doi:10.1111/j.1469-7580.2006.00640.x</dc:identifier>
    <dc:source>Journal of Anatomy, Vol. 209, No. 5. (November 2006), pp. 597-609.</dc:source>
    <dc:date>2006-10-26T13:00:05-00:00</dc:date>
    <prism:publicationName>Journal of Anatomy</prism:publicationName>
    <prism:issn>0021-8782</prism:issn>
    <prism:volume>209</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>597</prism:startingPage>
    <prism:endingPage>609</prism:endingPage>
    <prism:publisher>Blackwell Publishing</prism:publisher>
    <prism:category>climbing</prism:category>
    <prism:category>medicine</prism:category>
    <prism:category>osteoarthritis</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2696655">
    <title>Glucosamine in osteoarthritis: questions remain.</title>
    <link>http://www.citeulike.org/user/klouie/article/2696655</link>
    <description>&lt;i&gt;Cleveland Clinic journal of medicine, Vol. 74, No. 1. (January 2007), pp. 65-71.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Glucosamine is now widely used in the hope that it will relieve symptoms of osteoarthritis and stop its progression, yet studies have so far failed to prove convincingly that it works, how it might work, or whether it is safe to take long-term. This is an overview of the evidence to date for currently available glucosamine preparations, as well as for glucosamine used in combination with another popular nutraceutical, chondroitin sulfate.</description>
    <dc:title>Glucosamine in osteoarthritis: questions remain.</dc:title>

    <dc:creator>CJ Lozada</dc:creator>
    <dc:source>Cleveland Clinic journal of medicine, Vol. 74, No. 1. (January 2007), pp. 65-71.</dc:source>
    <dc:date>2008-04-21T13:54:31-00:00</dc:date>
    <prism:publicationName>Cleveland Clinic journal of medicine</prism:publicationName>
    <prism:issn>0891-1150</prism:issn>
    <prism:volume>74</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>65</prism:startingPage>
    <prism:endingPage>71</prism:endingPage>
    <prism:category>chondroitin_sulfate</prism:category>
    <prism:category>glucosamine</prism:category>
    <prism:category>medicine</prism:category>
    <prism:category>osteoarthritis</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2667697">
    <title>One-Dimensional Dynamics of Attention and Decision Making in LIP</title>
    <link>http://www.citeulike.org/user/klouie/article/2667697</link>
    <description>&lt;i&gt;Neuron, Vol. 58, No. 1. (10 April 2008), pp. 15-25.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Summary Where we allocate our visual spatial attention depends upon a continual competition between internally generated goals and external distractions. Recently it was shown that single neurons in the macaque lateral intraparietal area (LIP) can predict the amount of time a distractor can shift the locus of spatial attention away from a goal. We propose that this remarkable dynamical correspondence between single neurons and attention can be explained by a network model in which generically high-dimensional firing-rate vectors rapidly decay to a single mode. We find direct experimental evidence for this model, not only in the original attentional task, but also in a very different task involving perceptual decision making. These results confirm a theoretical prediction that slowly varying activity patterns are proportional to spontaneous activity, pose constraints on models of persistent activity, and suggest a network mechanism for the emergence of robust behavioral timing from heterogeneous neuronal populations.</description>
    <dc:title>One-Dimensional Dynamics of Attention and Decision Making in LIP</dc:title>

    <dc:creator>Surya Ganguli</dc:creator>
    <dc:creator>James Bisley</dc:creator>
    <dc:creator>Jamie Roitman</dc:creator>
    <dc:creator>Michael Shadlen</dc:creator>
    <dc:creator>Michael Goldberg</dc:creator>
    <dc:creator>Kenneth Miller</dc:creator>
    <dc:identifier>doi:10.1016/j.neuron.2008.01.038</dc:identifier>
    <dc:source>Neuron, Vol. 58, No. 1. (10 April 2008), pp. 15-25.</dc:source>
    <dc:date>2008-04-14T13:04:51-00:00</dc:date>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:volume>58</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>15</prism:startingPage>
    <prism:endingPage>25</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>computational_model</prism:category>
    <prism:category>decisionmaking</prism:category>
    <prism:category>lip</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/1454707">
    <title>Cognitive imitation in rhesus macaques.</title>
    <link>http://www.citeulike.org/user/klouie/article/1454707</link>
    <description>&lt;i&gt;Science, Vol. 305, No. 5682. (16 July 2004), pp. 407-410.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Experiments on imitation typically evaluate a student's ability to copy some feature of an expert's motor behavior. Here, we describe a type of observational learning in which a student copies a cognitive rule rather than a specific motor action. Two rhesus macaques were trained to respond, in a prescribed order, to different sets of photographs that were displayed on a touch-sensitive monitor. Because the position of the photographs varied randomly from trial to trial, sequences could not be learned by motor imitation. Both monkeys learned new sequences more rapidly after observing an expert execute those sequences than when they had to learn new sequences entirely by trial and error.</description>
    <dc:title>Cognitive imitation in rhesus macaques.</dc:title>

    <dc:creator>F Subiaul</dc:creator>
    <dc:creator>JF Cantlon</dc:creator>
    <dc:creator>RL Holloway</dc:creator>
    <dc:creator>HS Terrace</dc:creator>
    <dc:identifier>doi:10.1126/science.1099136</dc:identifier>
    <dc:source>Science, Vol. 305, No. 5682. (16 July 2004), pp. 407-410.</dc:source>
    <dc:date>2007-07-13T18:55:23-00:00</dc:date>
    <prism:publicationName>Science</prism:publicationName>
    <prism:issn>1095-9203</prism:issn>
    <prism:volume>305</prism:volume>
    <prism:number>5682</prism:number>
    <prism:startingPage>407</prism:startingPage>
    <prism:endingPage>410</prism:endingPage>
    <prism:category>imitation</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>observational_learning</prism:category>
    <prism:category>social_learning</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2620787">
    <title>Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry.</title>
    <link>http://www.citeulike.org/user/klouie/article/2620787</link>
    <description>&lt;i&gt;Nature, Vol. 379, No. 6565. (8 February 1996), pp. 549-553.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;When the two eyes view dissimilar images, we experience binocular rivalry, in which one eye's view dominates for several seconds and is then replaced by that of the other eye. What causes these perceptual changes in the absence of any change in the stimulus? We showed previously that some neurons in monkey cortical area MT show changes in activity during motion rivalry that reflect the perceived direction of motion. To determine whether perception-related modulation of activity occurs in other visual cortical areas, we recorded from individual neurons in V1, V2 and V4 while monkeys reported the perceived orientation of rival gratings of two orthogonal orientations. Many cells, particularly in V4, showed patterns of activity that correlated with the perceptual dominance and suppression of one stimulus. The majority were orientation-selective and could be driven equally well from either eye. It has been previously suggested that binocular rivalry involves reciprocal inhibition between monocular neurons within V1 (for example, see ref. 4), but our results do not support this view; rather, we propose that binocular rivalry arises through interactions between binocular neurons at several levels in the visual pathways, and that similar mechanisms may underlie other multistable perceptual states that occur when viewing ambiguous images.</description>
    <dc:title>Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry.</dc:title>

    <dc:creator>DA Leopold</dc:creator>
    <dc:creator>NK Logothetis</dc:creator>
    <dc:identifier>doi:10.1038/379549a0</dc:identifier>
    <dc:source>Nature, Vol. 379, No. 6565. (8 February 1996), pp. 549-553.</dc:source>
    <dc:date>2008-04-01T18:52:38-00:00</dc:date>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:volume>379</prism:volume>
    <prism:number>6565</prism:number>
    <prism:startingPage>549</prism:startingPage>
    <prism:endingPage>553</prism:endingPage>
    <prism:category>binocular_rivalry</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
    <prism:category>v1</prism:category>
    <prism:category>v2</prism:category>
    <prism:category>v4</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2620755">
    <title>Perceptually Bistable Three-Dimensional Figures Evoke High Choice Probabilities in Cortical Area MT</title>
    <link>http://www.citeulike.org/user/klouie/article/2620755</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 21, No. 13. (1 July 2001), pp. 4809-4821.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The role of the primate middle temporal area (MT) in depth perception was examined by considering the trial-to-trial correlations between neuronal activity and reported depth sensations. A set of moving random dots portrayed a cylinder rotating about its principal axis. In this structure-from-motion stimulus, the direction of rotation is ambiguous and the resulting percept undergoes spontaneous fluctuations. The stimulus can be rendered unambiguous by the addition of binocular disparities. We trained monkeys to report the direction of rotation in a set of these stimuli, one of which had zero disparity. Many disparity-selective neurons in area MT are selective for the direction of rotation defined by disparity. Across repeated presentations of the ambiguous (zero-disparity) stimulus, there was a correlation between neuronal firing and the reported direction of rotation, as found by Bradley et al. (1998). Quantification of this effect using choice probabilities (Britten et al., 1996) allowed us to demonstrate that the correlation cannot be explained by eye movements, behavioral biases, or attention to spatial location. MT neurons therefore appear to be involved in the perceptual decision process. The mean choice probability (0.67) was substantially larger than that reported for MT neurons in a direction discrimination task (Britten et al., 1996). This implies that MT neurons make a different contribution to the two tasks. For the depth task, either the pool of neurons used is smaller or the correlation between neurons in the pool is larger.</description>
    <dc:title>Perceptually Bistable Three-Dimensional Figures Evoke High Choice Probabilities in Cortical Area MT</dc:title>

    <dc:creator>Jonathan Dodd</dc:creator>
    <dc:creator>Kristine Krug</dc:creator>
    <dc:creator>Bruce Cumming</dc:creator>
    <dc:creator>Andrew Parker</dc:creator>
    <dc:source>J. Neurosci., Vol. 21, No. 13. (1 July 2001), pp. 4809-4821.</dc:source>
    <dc:date>2008-04-01T18:35:27-00:00</dc:date>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>21</prism:volume>
    <prism:number>13</prism:number>
    <prism:startingPage>4809</prism:startingPage>
    <prism:endingPage>4821</prism:endingPage>
    <prism:category>decisionmaking</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>mt</prism:category>
    <prism:category>neurophysiology</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2607697">
    <title>Socially biased learning in monkeys.</title>
    <link>http://www.citeulike.org/user/klouie/article/2607697</link>
    <description>&lt;i&gt;Learn Behav, Vol. 32, No. 1. (February 2004), pp. 24-35.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We review socially biased learning about food and problem solving in monkeys, relying especially on studies with tufted capuchin monkeys (Cebus apella) and callitrichid monkeys. Capuchin monkeys most effectively learn to solve a new problem when they can act jointly with an experienced partner in a socially tolerant setting and when the problem can be solved by direct action on an object or substrate, but they do not learn by imitation. Capuchin monkeys are motivated to eat foods, whether familiar or novel, when they are with others that are eating, regardless of what the others are eating. Thus, social bias in learning about foods is indirect and mediated by facilitation of feeding. In most respects, social biases in learning are similar in capuchins and callitrichids, except that callitrichids provide more specific behavioral cues to others about the availability and palatability of foods. Callitrichids generally are more tolerant toward group members and coordinate their activity in space and time more closely than capuchins do. These characteristics support stronger social biases in learning in callitrichids than in capuchins in some situations. On the other hand, callitrichids' more limited range of manipulative behaviors, greater neophobia, and greater sensitivity to the risk of predation restricts what these monkeys learn in comparison with capuchins. We suggest that socially biased learning is always the collective outcome of interacting physical, social, and individual factors, and that differences across populations and species in social bias in learning reflect variations in all these dimensions. Progress in understanding socially biased learning in nonhuman species will be aided by the development of appropriately detailed models of the richly interconnected processes affecting learning.</description>
    <dc:title>Socially biased learning in monkeys.</dc:title>

    <dc:creator>D Fragaszy</dc:creator>
    <dc:creator>E Visalberghi</dc:creator>
    <dc:source>Learn Behav, Vol. 32, No. 1. (February 2004), pp. 24-35.</dc:source>
    <dc:date>2008-03-28T15:26:48-00:00</dc:date>
    <prism:publicationName>Learn Behav</prism:publicationName>
    <prism:issn>1543-4494</prism:issn>
    <prism:volume>32</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>24</prism:startingPage>
    <prism:endingPage>35</prism:endingPage>
    <prism:category>monkey</prism:category>
    <prism:category>review</prism:category>
    <prism:category>social_learning</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2476639">
    <title>Identifying natural images from human brain activity</title>
    <link>http://www.citeulike.org/user/klouie/article/2476639</link>
    <description>&lt;i&gt;Nature (05 March 2008)&lt;/i&gt;</description>
    <dc:title>Identifying natural images from human brain activity</dc:title>

    <dc:creator>Kendrick Kay</dc:creator>
    <dc:creator>Thomas Naselaris</dc:creator>
    <dc:creator>Ryan Prenger</dc:creator>
    <dc:creator>Jack Gallant</dc:creator>
    <dc:identifier>doi:10.1038/nature06713</dc:identifier>
    <dc:source>Nature (05 March 2008)</dc:source>
    <dc:date>2008-03-06T04:09:09-00:00</dc:date>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>computational_model</prism:category>
    <prism:category>decoding</prism:category>
    <prism:category>fmri</prism:category>
    <prism:category>human</prism:category>
    <prism:category>neuroimaging</prism:category>
    <prism:category>receptive_field</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2564379">
    <title>Copying without rewards: socially influenced foraging decisions among brown capuchin monkeys.</title>
    <link>http://www.citeulike.org/user/klouie/article/2564379</link>
    <description>&lt;i&gt;Anim Cogn, Vol. 10, No. 3. (July 2007), pp. 283-292.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;An individual's foraging activity can be influenced by the choices made by nearby conspecifics. The interest shown in the location and characteristics of a feeding patch may depend on the feeding success of a conspecific there, a process that needs to be distinguished from choices guided by rewards to the observer itself. We investigated how rewards for both self and others influence the foraging choices of captive capuchin monkeys (Cebus apella). Thirteen adult capuchins observed familiar female conspecific models explore one of three opaque boxes under three conditions. In the first, there were no rewards available to either monkey; in the second, rewards were available to the model only; and in the third, both monkeys could retrieve a reward. Under all conditions, subjects more often explored the same box as the model than was expected by chance. Thus, without ever receiving a reward themselves or without seeing another receive rewards, subjects' searches were directed at the box explored by another monkey. The tendency to match the model's choice increased if the subject was rewarded. We compared these results to control conditions in which the model was either absent, or present but not allowed to demonstrate. Subjects' located the reward less often in control conditions, than in the experimental conditions. We conclude that extrinsic rewards, while helpful, are not required for partners to influence the foraging choices of capuchins, and that the unrewarded copying of foraging choices demonstrated here may provide the basis for additional social influences on learning.</description>
    <dc:title>Copying without rewards: socially influenced foraging decisions among brown capuchin monkeys.</dc:title>

    <dc:creator>KE Bonnie</dc:creator>
    <dc:creator>FB de Waal</dc:creator>
    <dc:source>Anim Cogn, Vol. 10, No. 3. (July 2007), pp. 283-292.</dc:source>
    <dc:date>2008-03-19T22:49:46-00:00</dc:date>
    <prism:publicationName>Anim Cogn</prism:publicationName>
    <prism:issn>1435-9448</prism:issn>
    <prism:volume>10</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>283</prism:startingPage>
    <prism:endingPage>292</prism:endingPage>
    <prism:category>foragingtheory</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>social_learning</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2563880">
    <title>Bounded Integration in Parietal Cortex Underlies Decisions Even When Viewing Duration Is Dictated by the Environment</title>
    <link>http://www.citeulike.org/user/klouie/article/2563880</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 28, No. 12. (19 March 2008), pp. 3017-3029.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Decisions about sensory stimuli are often based on an accumulation of evidence in time. When subjects control stimulus duration, the decision terminates when the accumulated evidence reaches a criterion level. Under many natural circumstances and in many laboratory settings, the environment, rather than the subject, controls the stimulus duration. In these settings, it is generally assumed that subjects commit to a choice at the end of the stimulus stream. Indeed, failure to benefit from the full stream of information is interpreted as a sign of imperfect accumulation or memory leak. Contrary to these assumptions, we show that monkeys performing a direction discrimination task commit to a choice when the accumulated evidence reaches a threshold level (or bound), sometimes long before the end of stimulus. This bounded accumulation of evidence is reflected in the activity of neurons in the lateral intraparietal cortex. Thus, the readout of visual cortex embraces a termination rule to limit processing even when potentially useful information is available. 10.1523/JNEUROSCI.4761-07.2008</description>
    <dc:title>Bounded Integration in Parietal Cortex Underlies Decisions Even When Viewing Duration Is Dictated by the Environment</dc:title>

    <dc:creator>Roozbeh Kiani</dc:creator>
    <dc:creator>Timothy Hanks</dc:creator>
    <dc:creator>Michael Shadlen</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.4761-07.2008</dc:identifier>
    <dc:source>J. Neurosci., Vol. 28, No. 12. (19 March 2008), pp. 3017-3029.</dc:source>
    <dc:date>2008-03-19T18:16:47-00:00</dc:date>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>28</prism:volume>
    <prism:number>12</prism:number>
    <prism:startingPage>3017</prism:startingPage>
    <prism:endingPage>3029</prism:endingPage>
    <prism:category>deci</prism:category>
    <prism:category>lip</prism:category>
    <prism:category>monkey</prism:category>
    <prism:category>neurophysiology</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/klouie/article/2443470">
    <title>Inhibition, Spike Threshold, and Stimulus Selectivity in Primary Visual Cortex</title>
    <link>http://www.citeulike.org/user/klouie/article/2443470</link>
    <description>&lt;i&gt;Neuron, Vol. 57, No. 4. (28 February 2008), pp. 482-497.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Ever since Hubel and Wiesel described orientation selectivity in the visual cortex, the question of how precise selectivity emerges has been marked by considerable debate. There are essentially two views of how selectivity arises. Feed-forward models rely entirely on the organization of thalamocortical inputs. Feedback models rely on lateral inhibition to refine selectivity relative to a weak bias provided by thalamocortical inputs. The debate is driven by two divergent lines of evidence. On the one hand, many response properties appear to require lateral inhibition, including precise orientation and direction selectivity and crossorientation suppression. On the other hand, intracellular recordings have failed to find consistent evidence for lateral inhibition. Here we demonstrate a resolution to this paradox. Feed-forward models incorporating the intrinsic nonlinear properties of cortical neurons and feed-forward circuits (i.e., spike threshold, contrast saturation, and spike-rate rectification) can account for properties that have previously appeared to require lateral inhibition.</description>
    <dc:title>Inhibition, Spike Threshold, and Stimulus Selectivity in Primary Visual Cortex</dc:title>

    <dc:creator>Nicholas Priebe</dc:creator>
    <dc:creator>David Ferster</dc:creator>
    <dc:identifier>doi:10.1016/j.neuron.2008.02.005</dc:identifier>
    <dc:source>Neuron, Vol. 57, No. 4. (28 February 2008), pp. 482-497.</dc:source>
    <dc:date>2008-02-28T13:45:14-00:00</dc:date>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:volume>57</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>482</prism:startingPage>
    <prism:endingPage>497</prism:endingPage>
    <prism:category>cross_orientation_suppression</prism:category>
    <prism:category>feedforward</prism:category>
    <prism:category>inhibition</prism:category>
    <prism:category>orientation_selectivity</prism:category>
    <prism:category>review</prism:category>
    <prism:category>v1</prism:category>
</item>



</rdf:RDF>

