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	<title>CiteULike: mrkrause's library [174 articles]</title>
	<description>CiteULike: mrkrause's library [174 articles]</description>


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	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
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<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1302192">
    <title>Increased attention enhances both behavioral and neuronal performance.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1302192</link>
    <description>&lt;i&gt;Science, Vol. 240, No. 4850. (15 April 1988), pp. 338-340.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Single cells were recorded from cortical area V4 of two rhesus monkeys (Macaca mulatta) trained on a visual discrimination task with two levels of difficulty. Behavioral evidence indicated that the monkeys' discriminative abilities improved when the task was made more difficult. Correspondingly, neuronal responses to stimuli became larger and more selective in the difficult task. A control experiment demonstrated that changes in general arousal could not account for the effects of task difficulty on neuronal responses. It is concluded that increasing the amount of attention directed toward a stimulus can enhance the responsiveness and selectivity of the neurons that process it.</description>
    <dc:title>Increased attention enhances both behavioral and neuronal performance.</dc:title>

    <dc:creator>H Spitzer</dc:creator>
    <dc:creator>R Desimone</dc:creator>
    <dc:creator>J Moran</dc:creator>
    <dc:identifier>doi:10.1126/science.3353728</dc:identifier>
    <dc:source>Science, Vol. 240, No. 4850. (15 April 1988), pp. 338-340.</dc:source>
    <dc:date>2007-05-17T13:54:54-00:00</dc:date>
    <prism:publicationYear>1988</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:issn>0036-8075</prism:issn>
    <prism:volume>240</prism:volume>
    <prism:number>4850</prism:number>
    <prism:startingPage>338</prism:startingPage>
    <prism:endingPage>340</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>difficulty</prism:category>
    <prism:category>v4</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/2977134">
    <title>Effects of Task Difficulty and Target Likelihood in Area V4 of Macaque Monkeys</title>
    <link>http://www.citeulike.org/user/mrkrause/article/2977134</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 96, No. 5. (1 November 2006), pp. 2377-2387.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Spatial attention improves performance at attended locations and correspondingly modulates firing rates of cortical neurons. The size of these behavioral and neuronal effects depends on the difficulty of the task performed at the attended location. Psychological theorists have attributed this to a tighter focus of a fixed amount of processing resource at the attended location, but the effects of task difficulty on the distribution of neuronal effects of attention across the visual field have not been fully explored. We trained rhesus monkeys to do a detection task in which difficulty and spatial attention were manipulated independently. Probe stimuli were used to measure behavioral performance in different conditions of attention and difficulty. Animals performed better at attended locations and this advantage increased with difficulty, consistent with data from human psychophysics. Neuronal modulation by spatial attention was larger with greater difficulty. In two animals, increasing difficulty caused a modest increase in neuronal responses to visual stimuli regardless of the locus of spatial attention. In a third animal, which was previously trained to ignore multiple distracting stimuli, increasing task difficulty increased responses at the focus of attention and suppressed responses away from the focus of attention. The results show that difficulty can modulate effects of spatial attention in V4; it can alter the distribution of sensory responses across the visual scene in ways that may depend on the subject's behavioral strategy. 10.1152/jn.01072.2005</description>
    <dc:title>Effects of Task Difficulty and Target Likelihood in Area V4 of Macaque Monkeys</dc:title>

    <dc:creator>Elizabeth Boudreau</dc:creator>
    <dc:creator>Tori Williford</dc:creator>
    <dc:creator>John Maunsell</dc:creator>
    <dc:identifier>doi:10.1152/jn.01072.2005</dc:identifier>
    <dc:source>J Neurophysiol, Vol. 96, No. 5. (1 November 2006), pp. 2377-2387.</dc:source>
    <dc:date>2008-07-09T15:25:26-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:volume>96</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>2377</prism:startingPage>
    <prism:endingPage>2387</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>difficulty</prism:category>
    <prism:category>v4</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1337751">
    <title>Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1337751</link>
    <description>&lt;i&gt;Neuropsychologia, Vol. 25, No. 1A. (1987), pp. 31-40.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Stimuli presented in a non-attended location are responded to much slower than stimuli presented in an attended one. The hypotheses proposed to explain this effect make reference to covert movement of attention, hemifield inhibition, or attentional gradients. The experiment reported here was aimed at discriminating among these hypotheses. Subjects were cued to attend to one of four possible stimulus locations, which were arranged either horizontally or vertically, above, below, to the right or left of a fixation point. The instructions were to respond manually as fast as possible to the occurrence of a visual stimulus, regardless of whether it occurred in a cued or in a non-cued location. In 70% of the cued trials the stimulus was presented in the cued location and in 30% in one of the non-cued locations. In addition there were trials in which a non-directional cue instructed the subject to pay attention to all four locations. The results showed that the correct orienting of attention yielded a small but significant benefit; the incorrect orienting of attention yielded a large and significant cost; the cost tended to increase as a function of the distance between the attended location and the location that was actually stimulated; and an additional cost was incurred when the stimulated and attended locations were on opposite sides of the vertical or horizontal meridian. We concluded that neither the hypothesis postulating hemifield inhibition nor that postulating movement of attention with a constant time can explain the data. The hypothesis of an attention gradient and that of attention movements with a constant speed are tenable in principle, but they fail to account for the effect of crossing the horizontal and vertical meridians. A hypothesis is proposed that postulates a strict link between covert orienting of attention and programming explicit ocular movements. Attention is oriented to a given point when the oculomotor programme for moving the eyes to this point is ready to be executed. Attentional cost is the time required to erase one ocular program and prepare the next one.</description>
    <dc:title>Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention.</dc:title>

    <dc:creator>G Rizzolatti</dc:creator>
    <dc:creator>L Riggio</dc:creator>
    <dc:creator>I Dascola</dc:creator>
    <dc:creator>C Umiltá</dc:creator>
    <dc:source>Neuropsychologia, Vol. 25, No. 1A. (1987), pp. 31-40.</dc:source>
    <dc:date>2007-05-27T20:15:32-00:00</dc:date>
    <prism:publicationYear>1987</prism:publicationYear>
    <prism:publicationName>Neuropsychologia</prism:publicationName>
    <prism:issn>0028-3932</prism:issn>
    <prism:volume>25</prism:volume>
    <prism:number>1A</prism:number>
    <prism:startingPage>31</prism:startingPage>
    <prism:endingPage>40</prism:endingPage>
    <prism:category>eye_movement</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1270629">
    <title>Effects of Spatial Attention on Contrast Response Functions in Macaque Area V4</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1270629</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 96, No. 1. (1 July 2006), pp. 40-54.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Previous single-unit studies of visual cortex have reported that spatial attention modulates responses to different orientations and directions proportionally, such that it does not change the width of tuning functions for these properties. Other studies have suggested that spatial attention causes a leftward shift in contrast response functions, such that its effects on responses to stimuli of different contrasts are not proportional. We have further explored the effects of attention on stimulus-response functions by measuring the responses of 131 individual V4 neurons in two monkeys while they did a task that controlled their spatial attention. Each neuron was tested with a set of stimuli that spanned complete ranges of orientation and contrast during different states of attention. Consistent with earlier reports, attention scaled responses to preferred and nonpreferred orientations proportionally. However, we did not find compelling evidence that the effects were best described by a leftward shift of the contrast response function. The modulation of neuronal responses by attention was well described by either a leftward shift or proportional scaling of the contrast response function. Consideration of differences in experimental design and analysis that may have contributed to this discrepancy suggests that it was premature to exclude a proportional scaling of responses to different contrasts by attention in favor of a leftward shift of contrast response functions. The current results reopen the possibility that the effects of attention on stimulus-response functions are well described by a single proportional increase in a neuron's response to all stimuli. 10.1152/jn.01207.2005</description>
    <dc:title>Effects of Spatial Attention on Contrast Response Functions in Macaque Area V4</dc:title>

    <dc:creator>Tori Williford</dc:creator>
    <dc:creator>John Maunsell</dc:creator>
    <dc:identifier>doi:10.1152/jn.01207.2005</dc:identifier>
    <dc:source>J Neurophysiol, Vol. 96, No. 1. (1 July 2006), pp. 40-54.</dc:source>
    <dc:date>2007-05-01T20:21:13-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:volume>96</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>40</prism:startingPage>
    <prism:endingPage>54</prism:endingPage>
    <prism:category>spatial_attention</prism:category>
    <prism:category>v4</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1190019">
    <title>Finding our rhythm</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1190019</link>
    <description>&lt;i&gt;Nat Neurosci, Vol. 10, No. 4. (April 2007), pp. 395-395.&lt;/i&gt;</description>
    <dc:title>Finding our rhythm</dc:title>

    <dc:creator>John Lisman</dc:creator>
    <dc:identifier>doi:10.1038/nn0407-395</dc:identifier>
    <dc:source>Nat Neurosci, Vol. 10, No. 4. (April 2007), pp. 395-395.</dc:source>
    <dc:date>2007-03-27T19:58:07-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Nat Neurosci</prism:publicationName>
    <prism:volume>10</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>395</prism:startingPage>
    <prism:endingPage>395</prism:endingPage>
    <prism:category>books</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/995200">
    <title>Visual attention modulates signal detectability.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/995200</link>
    <description>&lt;i&gt;J Exp Psychol Hum Percept Perform, Vol. 16, No. 4. (November 1990), pp. 802-811.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The mechanism by which visual-spatial attention affects the detection of faint signals has been the subject of considerable debate. It is well known that spatial cuing speeds signal detection. This may imply that attentional cuing modulates the processing of sensory information during detection or, alternatively, that cuing acts to create decision bias favoring input at the cued location. These possibilities were evaluated in 3 spatial cuing experiments. Peripheral cues were used in Experiment 1 and central cues were used in Experiments 2 and 3. Cuing similarly enhanced measured sensitivity, P(A) and d', for simple luminance detection in all 3 experiments. Under some conditions it also induced shifts in decision criteria (beta). These findings indicate that visual-spatial attention facilitates the processing of sensory input during detection either by increasing sensory gain for inputs at cued locations or by prioritizing the processing of cued inputs.</description>
    <dc:title>Visual attention modulates signal detectability.</dc:title>

    <dc:creator>HL Hawkins</dc:creator>
    <dc:creator>SA Hillyard</dc:creator>
    <dc:creator>SJ Luck</dc:creator>
    <dc:creator>M Mouloua</dc:creator>
    <dc:creator>CJ Downing</dc:creator>
    <dc:creator>DP Woodward</dc:creator>
    <dc:source>J Exp Psychol Hum Percept Perform, Vol. 16, No. 4. (November 1990), pp. 802-811.</dc:source>
    <dc:date>2006-12-14T17:30:53-00:00</dc:date>
    <prism:publicationYear>1990</prism:publicationYear>
    <prism:publicationName>J Exp Psychol Hum Percept Perform</prism:publicationName>
    <prism:issn>0096-1523</prism:issn>
    <prism:volume>16</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>802</prism:startingPage>
    <prism:endingPage>811</prism:endingPage>
    <prism:category>signal_detection</prism:category>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/933238">
    <title>Visual attention within and around the field of focal attention: a zoom lens model.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/933238</link>
    <description>&lt;i&gt;Percept Psychophys, Vol. 40, No. 4. (October 1986), pp. 225-240.&lt;/i&gt;</description>
    <dc:title>Visual attention within and around the field of focal attention: a zoom lens model.</dc:title>

    <dc:creator>CW Eriksen</dc:creator>
    <dc:creator>JD St James</dc:creator>
    <dc:source>Percept Psychophys, Vol. 40, No. 4. (October 1986), pp. 225-240.</dc:source>
    <dc:date>2006-11-06T10:54:45-00:00</dc:date>
    <prism:publicationYear>1986</prism:publicationYear>
    <prism:publicationName>Percept Psychophys</prism:publicationName>
    <prism:issn>0031-5117</prism:issn>
    <prism:volume>40</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>225</prism:startingPage>
    <prism:endingPage>240</prism:endingPage>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/838491">
    <title>Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems</title>
    <link>http://www.citeulike.org/user/mrkrause/article/838491</link>
    <description>&lt;i&gt;PNAS, Vol. 103, No. 26. (27 June 2006), pp. 10046-10051.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;On the basis of task-related imaging studies in normal human subjects, it has been suggested that two attention systems exist in the human brain: a bilateral dorsal attention system involved in top-down orienting of attention and a right-lateralized ventral attention system involved in reorienting attention in response to salient sensory stimuli. An important question is whether this functional organization emerges only in response to external attentional demands or is represented more fundamentally in the internal dynamics of brain activity. To address this question, we examine correlations in spontaneous fluctuations of the functional MRI blood oxygen level-dependent signal in the absence of task, stimuli, or explicit attentional demands. We identify a bilateral dorsal attention system and a right-lateralized ventral attention system solely on the basis of spontaneous activity. Further, we observe regions in the prefrontal cortex correlated with both systems, a potential mechanism for mediating the functional interaction between systems. These findings demonstrate that the neuroanatomical substrates of human attention persist in the absence of external events, reflected in the correlation structure of spontaneous activity. 10.1073/pnas.0604187103</description>
    <dc:title>Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems</dc:title>

    <dc:creator>Michael Fox</dc:creator>
    <dc:creator>Maurizio Corbetta</dc:creator>
    <dc:creator>Abraham Snyder</dc:creator>
    <dc:creator>Justin Vincent</dc:creator>
    <dc:creator>Marcus Raichle</dc:creator>
    <dc:identifier>doi:10.1073/pnas.0604187103</dc:identifier>
    <dc:source>PNAS, Vol. 103, No. 26. (27 June 2006), pp. 10046-10051.</dc:source>
    <dc:date>2006-09-10T19:35:40-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>PNAS</prism:publicationName>
    <prism:volume>103</prism:volume>
    <prism:number>26</prism:number>
    <prism:startingPage>10046</prism:startingPage>
    <prism:endingPage>10051</prism:endingPage>
    <prism:category>dorsal</prism:category>
    <prism:category>ventral</prism:category>
    <prism:category>visionfrmi</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/230054">
    <title>Spatiotemporal elements of macaque v1 receptive fields.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/230054</link>
    <description>&lt;i&gt;Neuron, Vol. 46, No. 6. (16 June 2005), pp. 945-956.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Neurons in primary visual cortex (V1) are commonly classified as simple or complex based upon their sensitivity to the sign of stimulus contrast. The responses of both cell types can be described by a general model in which the outputs of a set of linear filters are nonlinearly combined. We estimated the model for a population of V1 neurons by analyzing the mean and covariance of the spatiotemporal distribution of random bar stimuli that were associated with spikes. This analysis reveals an unsuspected richness of neuronal computation within V1. Specifically, simple and complex cell responses are best described using more linear filters than the one or two found in standard models. Many filters revealed by the model contribute suppressive signals that appear to have a predominantly divisive influence on neuronal firing. Suppressive signals are especially potent in direction-selective cells, where they reduce responses to stimuli moving in the nonpreferred direction.</description>
    <dc:title>Spatiotemporal elements of macaque v1 receptive fields.</dc:title>

    <dc:creator>NC Rust</dc:creator>
    <dc:creator>O Schwartz</dc:creator>
    <dc:creator>JA Movshon</dc:creator>
    <dc:creator>EP Simoncelli</dc:creator>
    <dc:identifier>doi:10.1016/j.neuron.2005.05.021</dc:identifier>
    <dc:source>Neuron, Vol. 46, No. 6. (16 June 2005), pp. 945-956.</dc:source>
    <dc:date>2005-06-16T14:51:25-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:issn>0896-6273</prism:issn>
    <prism:volume>46</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>945</prism:startingPage>
    <prism:endingPage>956</prism:endingPage>
    <prism:category>kernelklub</prism:category>
    <prism:category>reverse_correlation</prism:category>
    <prism:category>strf</prism:category>
    <prism:category>v1</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/130384">
    <title>Optimal eye movement strategies in visual search</title>
    <link>http://www.citeulike.org/user/mrkrause/article/130384</link>
    <description>&lt;i&gt;Nature, Vol. 434, No. 7031. (17 March 2005), pp. 387-391.&lt;/i&gt;</description>
    <dc:title>Optimal eye movement strategies in visual search</dc:title>

    <dc:creator>Jiri Najemnik</dc:creator>
    <dc:creator>Wilson Geisler</dc:creator>
    <dc:identifier>doi:10.1038/nature03390</dc:identifier>
    <dc:source>Nature, Vol. 434, No. 7031. (17 March 2005), pp. 387-391.</dc:source>
    <dc:date>2005-03-17T01:09:26-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:volume>434</prism:volume>
    <prism:number>7031</prism:number>
    <prism:startingPage>387</prism:startingPage>
    <prism:endingPage>391</prism:endingPage>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>eye_movement</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/3006894">
    <title>Task difficulty modulates the activity of specific neuronal populations in primary visual cortex.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/3006894</link>
    <description>&lt;i&gt;Nature neuroscience (6 July 2008)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Spatial attention enhances our ability to detect stimuli at restricted regions of the visual field. This enhancement is thought to depend on the difficulty of the task being performed, but the underlying neuronal mechanisms for this dependency remain largely unknown. We found that task difficulty modulates neuronal firing rate at the earliest stages of cortical visual processing (area V1) in monkey (Macaca mulatta). These modulations were spatially specific: increasing task difficulty enhanced V1 neuronal firing rate at the focus of attention and suppressed it in regions surrounding the focus. Moreover, we found that response enhancement and suppression are mediated by distinct populations of neurons that differ in direction selectivity, spike width, interspike-interval distribution and contrast sensitivity. Our results provide strong support for center-surround models of spatial attention and suggest that task difficulty modulates the activity of specific populations of neurons in the primary visual cortex.</description>
    <dc:title>Task difficulty modulates the activity of specific neuronal populations in primary visual cortex.</dc:title>

    <dc:creator>Yao Chen</dc:creator>
    <dc:creator>Susana Martinez-Conde</dc:creator>
    <dc:creator>Stephen L Macknik</dc:creator>
    <dc:creator>Yulia Bereshpolova</dc:creator>
    <dc:creator>Harvey A Swadlow</dc:creator>
    <dc:creator>Jose-Manuel Alonso</dc:creator>
    <dc:identifier>doi:10.1038/nn.2147</dc:identifier>
    <dc:source>Nature neuroscience (6 July 2008)</dc:source>
    <dc:date>2008-07-15T20:31:26-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Nature neuroscience</prism:publicationName>
    <prism:issn>1097-6256</prism:issn>
    <prism:category>attention</prism:category>
    <prism:category>celltypes</prism:category>
    <prism:category>difficulty</prism:category>
    <prism:category>v1</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1300762">
    <title>Visuospatial attention: beyond a spotlight model.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1300762</link>
    <description>&lt;i&gt;Psychon Bull Rev, Vol. 6, No. 2. (June 1999), pp. 204-223.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Much of the research in visual attention has been driven by the spotlight metaphor. This metaphor has been useful over many years for generating experimental questions in attention research. However, theories and models of visual selection have reached such a level of complexity that debate now centers around more specific questions about the nature of attention. In this review, the general question &#34;Is visual attention like a spotlight?&#34; is broken down into seven specific questions concerning the nature of visual attention, and the evidence relevant to each is examined. The answers to these specific questions provide important clues about why visual selection is necessary and what purpose attention plays in visual cognition.</description>
    <dc:title>Visuospatial attention: beyond a spotlight model.</dc:title>

    <dc:creator>KR Cave</dc:creator>
    <dc:creator>NP Bichot</dc:creator>
    <dc:source>Psychon Bull Rev, Vol. 6, No. 2. (June 1999), pp. 204-223.</dc:source>
    <dc:date>2007-05-16T19:54:45-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:publicationName>Psychon Bull Rev</prism:publicationName>
    <prism:issn>1069-9384</prism:issn>
    <prism:volume>6</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>204</prism:startingPage>
    <prism:endingPage>223</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>objects</prism:category>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/845902">
    <title>Frequency and phase contributions to the detection of temporal luminance modulation.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/845902</link>
    <description>&lt;i&gt;J Opt Soc Am A Opt Image Sci Vis, Vol. 22, No. 10. (October 2005), pp. 2257-2261.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Observers detected a temporally modulated luminance pattern embedded in dynamic noise. A Gabor function with a carrier frequency, in separate conditions of 0, 1.56, or 3.12 Hz, modulated signal contrast. Classification images were constructed in the time, temporal frequency, and temporal phase domains. As stimulus frequency increased, amplitudes of the phase images decreased and amplitudes of the frequency images increased, indicating a corresponding shift in the observers' criteria. The reduced use of phase attenuated time-domain images from signal-absent trials, but physical interactions between signal and noise components tended to preserve time-domain images from signal-present trials. The results illustrate a frequency-dependent strategy shift in detection that may reflect a degree of stimulus uncertainty in the time domain.</description>
    <dc:title>Frequency and phase contributions to the detection of temporal luminance modulation.</dc:title>

    <dc:creator>JP Thomas</dc:creator>
    <dc:creator>K Knoblauch</dc:creator>
    <dc:source>J Opt Soc Am A Opt Image Sci Vis, Vol. 22, No. 10. (October 2005), pp. 2257-2261.</dc:source>
    <dc:date>2006-09-15T20:26:24-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>J Opt Soc Am A Opt Image Sci Vis</prism:publicationName>
    <prism:issn>1084-7529</prism:issn>
    <prism:volume>22</prism:volume>
    <prism:number>10</prism:number>
    <prism:startingPage>2257</prism:startingPage>
    <prism:endingPage>2261</prism:endingPage>
    <prism:category>classification_image</prism:category>
    <prism:category>dynamic</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/797801">
    <title>Visual search: The role of peripheral information measured using gaze-contingent displays</title>
    <link>http://www.citeulike.org/user/mrkrause/article/797801</link>
    <description>&lt;i&gt;J. Vis., Vol. 6, No. 9. (August 2006), pp. 858-873.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Two of the factors limiting progress in understanding the mechanisms of visual search are the difficulty of controlling and manipulating the retinal stimulus when the eyes are free to move and the lack of an ideal observer theory for fixation selection during search. Recently, we developed a method to precisely control retinal stimulation with gaze-contingent displays (J. S. Perry &#38; W. S. Geisler, 2002), and we derived a theory of optimal eye movements in visual search (J. Najemnik &#38; W. S. Geisler, 2005). Here, we report a parametric study of visual search for sine-wave targets added to spatial noise backgrounds that have spectral characteristics similar to natural images (the amplitude spectrum of the noise falls inversely with spatial frequency). Search time, search accuracy, and eye fixations were measured as a function of target spatial frequency, 1/f noise contrast, and the resolution falloff of the display from the point of fixation. The results are systematic and similar for the two observers. We find that many aspects of search performance and eye movement pattern are similar to those of an ideal searcher that has the same falloff in resolution with retinal eccentricity as the human visual system.</description>
    <dc:title>Visual search: The role of peripheral information measured using gaze-contingent displays</dc:title>

    <dc:creator>Wilson Geisler</dc:creator>
    <dc:creator>Jeffrey Perry</dc:creator>
    <dc:creator>Jiri Najemnik</dc:creator>
    <dc:identifier>doi:10.1167/6.9.1</dc:identifier>
    <dc:source>J. Vis., Vol. 6, No. 9. (August 2006), pp. 858-873.</dc:source>
    <dc:date>2006-08-11T20:43:36-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>J. Vis.</prism:publicationName>
    <prism:volume>6</prism:volume>
    <prism:number>9</prism:number>
    <prism:startingPage>858</prism:startingPage>
    <prism:endingPage>873</prism:endingPage>
    <prism:category>classification_image</prism:category>
    <prism:category>peripheral</prism:category>
    <prism:category>visual_search</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/762473">
    <title>An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/762473</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 58, No. 6. (December 1987), pp. 1233-1258.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;1. Using the two-dimensional (2D) spatial and spectral response profiles described in the previous two reports, we test Daugman's generalization of Marcelja's hypothesis that simple receptive fields belong to a class of linear spatial filters analogous to those described by Gabor and referred to here as 2D Gabor filters. 2. In the space domain, we found 2D Gabor filters that fit the 2D spatial response profile of each simple cell in the least-squared error sense (with a simplex algorithm), and we show that the residual error is devoid of spatial structure and statistically indistinguishable from random error. 3. Although a rigorous statistical approach was not possible with our spectral data, we also found a Gabor function that fit the 2D spectral response profile of each simple cell and observed that the residual errors are everywhere small and unstructured. 4. As an assay of spatial linearity in two dimensions, on which the applicability of Gabor theory is dependent, we compare the filter parameters estimated from the independent 2D spatial and spectral measurements described above. Estimates of most parameters from the two domains are highly correlated, indicating that assumptions about spatial linearity are valid. 5. Finally, we show that the functional form of the 2D Gabor filter provides a concise mathematical expression, which incorporates the important spatial characteristics of simple receptive fields demonstrated in the previous two reports. Prominent here are 1) Cartesian separable spatial response profiles, 2) spatial receptive fields with staggered subregion placement, 3) Cartesian separable spectral response profiles, 4) spectral response profiles with axes of symmetry not including the origin, and 5) the uniform distribution of spatial phase angles. 6. We conclude that the Gabor function provides a useful and reasonably accurate description of most spatial aspects of simple receptive fields. Thus it seems that an optimal strategy has evolved for sampling images simultaneously in the 2D spatial and spatial frequency domains.</description>
    <dc:title>An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex.</dc:title>

    <dc:creator>JP Jones</dc:creator>
    <dc:creator>LA Palmer</dc:creator>
    <dc:source>J Neurophysiol, Vol. 58, No. 6. (December 1987), pp. 1233-1258.</dc:source>
    <dc:date>2006-07-17T20:57:40-00:00</dc:date>
    <prism:publicationYear>1987</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>58</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>1233</prism:startingPage>
    <prism:endingPage>1258</prism:endingPage>
    <prism:category>reverse_correlation</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/311025">
    <title>Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/311025</link>
    <description>&lt;i&gt;Network, Vol. 12, No. 3. (August 2001), pp. 289-316.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We present a generalized reverse correlation technique that can be used to estimate the spatio-temporal receptive fields (STRFs) of sensory neurons from their responses to arbitrary stimuli such as auditory vocalizations or natural visual scenes. The general solution for STRF estimation requires normalization of the stimulus-response cross-correlation by the stimulus autocorrelation matrix. When the second-order stimulus statistics are stationary, normalization involves only the diagonal elements of the Fourier-transformed auto-correlation matrix (the power spectrum). In the non-stationary case normalization requires the entire auto-correlation matrix. We present modelling studies that demonstrate the feasibility and accuracy of this method as well as neurophysiological data comparing STRFs estimated using natural versus synthetic stimulus ensembles. For both auditory and visual neurons, STRFs obtained with these different stimuli are similar, but exhibit systematic differences that may be functionally significant. This method should be useful for determining what aspects of natural signals are represented by sensory neurons and may reveal novel response properties of these neurons.</description>
    <dc:title>Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.</dc:title>

    <dc:creator>FE Theunissen</dc:creator>
    <dc:creator>SV David</dc:creator>
    <dc:creator>NC Singh</dc:creator>
    <dc:creator>A Hsu</dc:creator>
    <dc:creator>WE Vinje</dc:creator>
    <dc:creator>JL Gallant</dc:creator>
    <dc:source>Network, Vol. 12, No. 3. (August 2001), pp. 289-316.</dc:source>
    <dc:date>2005-09-02T22:31:04-00:00</dc:date>
    <prism:publicationYear>2001</prism:publicationYear>
    <prism:publicationName>Network</prism:publicationName>
    <prism:issn>0954-898X</prism:issn>
    <prism:volume>12</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>289</prism:startingPage>
    <prism:endingPage>316</prism:endingPage>
    <prism:category>reverse_correlation</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/580865">
    <title>Weak pairwise correlations imply strongly correlated network states in a neural population</title>
    <link>http://www.citeulike.org/user/mrkrause/article/580865</link>
    <description>&lt;i&gt;Nature (09 April 2006)&lt;/i&gt;</description>
    <dc:title>Weak pairwise correlations imply strongly correlated network states in a neural population</dc:title>

    <dc:creator>Elad Schneidman</dc:creator>
    <dc:creator>Michael Berry</dc:creator>
    <dc:creator>Ronen Segev</dc:creator>
    <dc:creator>William Bialek</dc:creator>
    <dc:identifier>doi:10.1038/nature04701</dc:identifier>
    <dc:source>Nature (09 April 2006)</dc:source>
    <dc:date>2006-04-09T19:27:39-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/410856">
    <title>Frontal-striatal disconnection disrupts cognitive performance of the frontal-type in the rat.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/410856</link>
    <description>&lt;i&gt;Neuroscience, Vol. 135, No. 4. (2005), pp. 1055-1065.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The prefrontal cortex is considered to provide executive control of response selection and planning in diverse cognitive tasks, translated into action via descending subcortical projections (or 'loops') through the basal ganglia. We have used a disconnection strategy to demonstrate first that bilateral fronto-striatal disconnection disrupts rats' abilities to perform delayed alternation, the classic test of prefrontal function in rats and monkeys, and second that crossed unilateral cortical and striatal lesions on opposite sides similarly disrupt rats' abilities to perform the same cognitive task. We found that effective disconnection requires interruption of interhemispheric transfer, achieved by transection of the anterior corpus callosum. This produces a moderate deficit in its own right, which is not exacerbated by additional prefrontal and striatal lesions in one hemisphere. Conversely, the animals are significantly more impaired after crossed prefrontal and striatal lesions of similar total magnitude. The results demonstrate than an intact cortico-striatal pathway is necessary to sustain performance on a classical prefrontal task, and provide a model within which to assess circuit reconstruction with novel cell therapies for brain repair.</description>
    <dc:title>Frontal-striatal disconnection disrupts cognitive performance of the frontal-type in the rat.</dc:title>

    <dc:creator>SB Dunnett</dc:creator>
    <dc:creator>A Meldrum</dc:creator>
    <dc:creator>JL Muir</dc:creator>
    <dc:identifier>doi:10.1016/j.neuroscience.2005.07.033</dc:identifier>
    <dc:source>Neuroscience, Vol. 135, No. 4. (2005), pp. 1055-1065.</dc:source>
    <dc:date>2005-11-28T21:09:21-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Neuroscience</prism:publicationName>
    <prism:issn>0306-4522</prism:issn>
    <prism:volume>135</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>1055</prism:startingPage>
    <prism:endingPage>1065</prism:endingPage>
    <prism:category>delayed_alternation</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/90536">
    <title>Synergy, redundancy, and independence in population codes.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/90536</link>
    <description>&lt;i&gt;J Neurosci, Vol. 23, No. 37. (17 December 2003), pp. 11539-11553.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;A key issue in understanding the neural code for an ensemble of neurons is the nature and strength of correlations between neurons and how these correlations are related to the stimulus. The issue is complicated by the fact that there is not a single notion of independence or lack of correlation. We distinguish three kinds: (1) activity independence; (2) conditional independence; and (3) information independence. Each notion is related to an information measure: the information between cells, the information between cells given the stimulus, and the synergy of cells about the stimulus, respectively. We show that these measures form an interrelated framework for evaluating contributions of signal and noise correlations to the joint information conveyed about the stimulus and that at least two of the three measures must be calculated to characterize a population code. This framework is compared with others recently proposed in the literature. In addition, we distinguish questions about how information is encoded by a population of neurons from how that information can be decoded. Although information theory is natural and powerful for questions of encoding, it is not sufficient for characterizing the process of decoding. Decoding fundamentally requires an error measure that quantifies the importance of the deviations of estimated stimuli from actual stimuli. Because there is no a priori choice of error measure, questions about decoding cannot be put on the same level of generality as for encoding.</description>
    <dc:title>Synergy, redundancy, and independence in population codes.</dc:title>

    <dc:creator>E Schneidman</dc:creator>
    <dc:creator>W Bialek</dc:creator>
    <dc:creator>MJ Berry</dc:creator>
    <dc:source>J Neurosci, Vol. 23, No. 37. (17 December 2003), pp. 11539-11553.</dc:source>
    <dc:date>2005-02-09T17:32:31-00:00</dc:date>
    <prism:publicationYear>2003</prism:publicationYear>
    <prism:publicationName>J Neurosci</prism:publicationName>
    <prism:issn>1529-2401</prism:issn>
    <prism:volume>23</prism:volume>
    <prism:number>37</prism:number>
    <prism:startingPage>11539</prism:startingPage>
    <prism:endingPage>11553</prism:endingPage>
    <prism:category>neuro</prism:category>
    <prism:category>population_coding</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/374062">
    <title>Population coding of orientation in the visual cortex of alert cats--an information theoretic analysis.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/374062</link>
    <description>&lt;i&gt;Neuroreport, Vol. 15, No. 18. (22 December 2004), pp. 2761-2764.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We studied the encoding of stimulus orientation in the visual cortex of alert animals using information theory methods. Based on a labeled-line code, the encoding of orientation was mostly synergistic and only few pairs coded redundant. The synergy contributed about 20% of the information and was strongest for sites with distinct tuning curves. A recently proposed decomposition of synergy revealed that redundancy introduced by common tuning preferences is more than just compensated by noise correlations which mostly contributed synergistically. Based on a pooled response code, the contribution of noise correlations diminished resulting in a severe information loss. Thus, to operate economically, cortical neurons should either employ a labeled-line code or, if using pooled responses, be highly selective in choosing afferents.</description>
    <dc:title>Population coding of orientation in the visual cortex of alert cats--an information theoretic analysis.</dc:title>

    <dc:creator>C Kayser</dc:creator>
    <dc:creator>P König</dc:creator>
    <dc:source>Neuroreport, Vol. 15, No. 18. (22 December 2004), pp. 2761-2764.</dc:source>
    <dc:date>2005-10-31T22:16:09-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Neuroreport</prism:publicationName>
    <prism:issn>0959-4965</prism:issn>
    <prism:volume>15</prism:volume>
    <prism:number>18</prism:number>
    <prism:startingPage>2761</prism:startingPage>
    <prism:endingPage>2764</prism:endingPage>
    <prism:category>information_theory</prism:category>
    <prism:category>neuro</prism:category>
    <prism:category>population_coding</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/212882">
    <title>Synergy, redundancy, and independence in population codes, revisited.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/212882</link>
    <description>&lt;i&gt;J Neurosci, Vol. 25, No. 21. (25 May 2005), pp. 5195-5206.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Decoding the activity of a population of neurons is a fundamental problem in neuroscience. A key aspect of this problem is determining whether correlations in the activity, i.e., noise correlations, are important. If they are important, then the decoding problem is high dimensional: decoding algorithms must take the correlational structure in the activity into account. If they are not important, or if they play a minor role, then the decoding problem can be reduced to lower dimension and thus made more tractable. The issue of whether correlations are important has been a subject of heated debate. The debate centers around the validity of the measures used to address it. Here, we evaluate three of the most commonly used ones: synergy, DeltaI(shuffled), and DeltaI. We show that synergy and DeltaI(shuffled) are confounded measures: they can be zero when correlations are clearly important for decoding and positive when they are not. In contrast, DeltaI is not confounded. It is zero only when correlations are not important for decoding and positive only when they are; that is, it is zero only when one can decode exactly as well using a decoder that ignores correlations as one can using a decoder that does not, and it is positive only when one cannot decode as well. Finally, we show that DeltaI has an information theoretic interpretation; it is an upper bound on the information lost when correlations are ignored.</description>
    <dc:title>Synergy, redundancy, and independence in population codes, revisited.</dc:title>

    <dc:creator>PE Latham</dc:creator>
    <dc:creator>S Nirenberg</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.5319-04.2005</dc:identifier>
    <dc:source>J Neurosci, Vol. 25, No. 21. (25 May 2005), pp. 5195-5206.</dc:source>
    <dc:date>2005-05-27T13:31:33-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>J Neurosci</prism:publicationName>
    <prism:issn>1529-2401</prism:issn>
    <prism:volume>25</prism:volume>
    <prism:number>21</prism:number>
    <prism:startingPage>5195</prism:startingPage>
    <prism:endingPage>5206</prism:endingPage>
    <prism:category>neuro</prism:category>
    <prism:category>population_coding</prism:category>
    <prism:category>redundancy</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1624654">
    <title>Temporal precision in the neural code and the timescales of natural vision</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1624654</link>
    <description>&lt;i&gt;Nature, Vol. 449, No. 7158. (2007), pp. 92-95.&lt;/i&gt;</description>
    <dc:title>Temporal precision in the neural code and the timescales of natural vision</dc:title>

    <dc:creator>Daniel Butts</dc:creator>
    <dc:creator>Chong Weng</dc:creator>
    <dc:creator>Jianzhong Jin</dc:creator>
    <dc:creator>Chun-I Yeh</dc:creator>
    <dc:creator>Nicholas Lesica</dc:creator>
    <dc:creator>Jose-Manuel Alonso</dc:creator>
    <dc:creator>Garrett Stanley</dc:creator>
    <dc:identifier>doi:10.1038/nature06105</dc:identifier>
    <dc:source>Nature, Vol. 449, No. 7158. (2007), pp. 92-95.</dc:source>
    <dc:date>2007-09-05T17:16:50-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:volume>449</prism:volume>
    <prism:number>7158</prism:number>
    <prism:startingPage>92</prism:startingPage>
    <prism:endingPage>95</prism:endingPage>
    <prism:category>coding</prism:category>
    <prism:category>lgn</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/3079617">
    <title>Different rules of spatial summation from beyond the receptive field for spike rates and oscillation amplitudes in cat visual cortex.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/3079617</link>
    <description>&lt;i&gt;Brain research, Vol. 669, No. 2. (16 January 1995), pp. 291-297.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We measured spike rates in parallel with visually induced oscillations of multi-unit activity (MUA) and local field potentials (LFP) from cortical areas 17 and 18 of anesthetized cats. Variations in the three response types were systematically correlated with stimulus size and placement. Oscillation amplitudes of both MUA and LFP were on average low with stimuli covering just the receptive field and they increased progressively with larger stimuli, whereas average spike rates rather decreased monotonically with stimulus sizes beyond the receptive field (area 18) or reached a plateau with stimuli in the far surround (area 17). Thus, spike rates and oscillation amplitudes follow different rules of spatial summation. Since the spatial spread of the synchronized components of oscillations roughly matches the horizontal divergence zone of the pyramidal cells' axonal collaterals in area 17 and 18, the interconnected system of neighbouring columns seems to constitute a functional unit, within which the oscillations could exert their functional role.</description>
    <dc:title>Different rules of spatial summation from beyond the receptive field for spike rates and oscillation amplitudes in cat visual cortex.</dc:title>

    <dc:creator>R Bauer</dc:creator>
    <dc:creator>M Brosch</dc:creator>
    <dc:creator>R Eckhorn</dc:creator>
    <dc:source>Brain research, Vol. 669, No. 2. (16 January 1995), pp. 291-297.</dc:source>
    <dc:date>2008-08-04T06:51:35-00:00</dc:date>
    <prism:publicationYear>1995</prism:publicationYear>
    <prism:publicationName>Brain research</prism:publicationName>
    <prism:issn>0006-8993</prism:issn>
    <prism:volume>669</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>291</prism:startingPage>
    <prism:endingPage>297</prism:endingPage>
    <prism:category>lfp</prism:category>
    <prism:category>sparseness</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/2858648">
    <title>Saccades to a Remembered Location Elicit Spatially Specific Activation in the Human Retinotopic Visual Cortex.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/2858648</link>
    <description>&lt;i&gt;Journal of cognitive neuroscience (29 May 2008)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Abstract The possible impact upon the human visual cortex from saccades to remembered target locations was investigated using functional magnetic resonance imaging (fMRI). A specific location in the upper-right or upper-left visual quadrant served as the saccadic target. After a delay of 2400 msec, an auditory signal indicated whether to execute a saccade to that location (go trial) or to cancel the saccade and remain centrally fixated (no-go). Group fMRI analysis revealed activation specific to the remembered target location for executed saccades, in the contralateral lingual gyrus. No-go trials produced similar, albeit significantly reduced, effects. Individual retinotopic mapping confirmed that on go trials, quadrant-specific activations arose in those parts of ventral V1, V2, and V3 that coded the target location for the saccade, whereas on no-go trials, only the corresponding parts of V2 and V3 were significantly activated. These results indicate that a spatial-motor saccadic task (i.e., making an eye movement to a remembered location) is sufficient to activate the retinotopic visual cortex spatially corresponding to the target location, and that this activation is also present (though reduced) when no saccade is executed. We discuss the implications of finding that saccades to remembered locations can affect the early visual cortex, not just those structures conventionally associated with eye movements, in relation to recent ideas about attention, spatial working memory, and the notion that recently activated representations can be &#34;refreshed&#34; when needed.</description>
    <dc:title>Saccades to a Remembered Location Elicit Spatially Specific Activation in the Human Retinotopic Visual Cortex.</dc:title>

    <dc:creator>Joy J Geng</dc:creator>
    <dc:creator>Christian C Ruff</dc:creator>
    <dc:creator>Jon Driver</dc:creator>
    <dc:identifier>doi:10.1162/jocn.2008.21025</dc:identifier>
    <dc:source>Journal of cognitive neuroscience (29 May 2008)</dc:source>
    <dc:date>2008-06-03T10:07:25-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Journal of cognitive neuroscience</prism:publicationName>
    <prism:issn>0898-929X</prism:issn>
    <prism:category>lm</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/143634">
    <title>Monkeys pay per view: adaptive valuation of social images by rhesus macaques.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/143634</link>
    <description>&lt;i&gt;Curr Biol, Vol. 15, No. 6. (29 March 2005), pp. 543-548.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Individuals value information that improves decision making. When social interactions complicate the decision process, acquiring information about others should be particularly valuable []. In primate societies, kinship, dominance, and reproductive status regulate social interactions [] and should therefore systematically influence the value of social information, but this has never been demonstrated. Here, we show that monkeys differentially value the opportunity to acquire visual information about particular classes of social images. Male rhesus macaques sacrificed fluid for the opportunity to view female perinea and the faces of high-status monkeys but required fluid overpayment to view the faces of low-status monkeys. Social value was highly consistent across subjects, independent of particular images displayed, and only partially predictive of how long subjects chose to view each image. These data demonstrate that visual orienting decisions reflect the specific social content of visual information and provide the first experimental evidence that monkeys spontaneously discriminate images of others based on social status.</description>
    <dc:title>Monkeys pay per view: adaptive valuation of social images by rhesus macaques.</dc:title>

    <dc:creator>RO Deaner</dc:creator>
    <dc:creator>AV Khera</dc:creator>
    <dc:creator>ML Platt</dc:creator>
    <dc:identifier>doi:10.1016/j.cub.2005.01.044</dc:identifier>
    <dc:source>Curr Biol, Vol. 15, No. 6. (29 March 2005), pp. 543-548.</dc:source>
    <dc:date>2005-03-31T16:40:19-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Curr Biol</prism:publicationName>
    <prism:issn>0960-9822</prism:issn>
    <prism:volume>15</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>543</prism:startingPage>
    <prism:endingPage>548</prism:endingPage>
    <prism:category>brainthought</prism:category>
    <prism:category>random</prism:category>
    <prism:category>social</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/2720315">
    <title>Double dissociation of 'what' and 'where' processing in auditory cortex</title>
    <link>http://www.citeulike.org/user/mrkrause/article/2720315</link>
    <description>&lt;i&gt;Nature Neuroscience, Vol. 11, No. 5. (13 April 2008), pp. 609-616.&lt;/i&gt;</description>
    <dc:title>Double dissociation of 'what' and 'where' processing in auditory cortex</dc:title>

    <dc:creator>Stephen Lomber</dc:creator>
    <dc:creator>Shveta Malhotra</dc:creator>
    <dc:identifier>doi:10.1038/nn.2108</dc:identifier>
    <dc:source>Nature Neuroscience, Vol. 11, No. 5. (13 April 2008), pp. 609-616.</dc:source>
    <dc:date>2008-04-26T06:19:24-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Nature Neuroscience</prism:publicationName>
    <prism:issn>1097-6256</prism:issn>
    <prism:volume>11</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>609</prism:startingPage>
    <prism:endingPage>616</prism:endingPage>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>auditory</prism:category>
    <prism:category>brainthought</prism:category>
    <prism:category>ranom</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/2652011">
    <title>When pliers become fingers in the monkey motor system</title>
    <link>http://www.citeulike.org/user/mrkrause/article/2652011</link>
    <description>&lt;i&gt;Proceedings of the National Academy of Sciences, Vol. 105, No. 6. (12 February 2008), pp. 2209-2213.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The capacity to use tools is a fundamental evolutionary achievement. Its essence stands in the capacity to transfer a proximal goal (grasp a tool) to a distal goal (e.g., grasp food). Where and how does this goal transfer occur? Here, we show that, in monkeys trained to use tools, cortical motor neurons, active during hand grasping, also become active during grasping with pliers, as if the pliers were now the hand fingers. This motor embodiment occurs both for normal pliers and for &#34;reverse pliers,&#34; an implement that requires finger opening, instead of their closing, to grasp an object. We conclude that the capacity to use tools is based on an inherently goal-centered functional organization of primate cortical motor areas. 10.1073/pnas.0705985105</description>
    <dc:title>When pliers become fingers in the monkey motor system</dc:title>

    <dc:creator>MA Umilta</dc:creator>
    <dc:creator>L Escola</dc:creator>
    <dc:creator>I Intskirveli</dc:creator>
    <dc:creator>F Grammont</dc:creator>
    <dc:creator>M Rochat</dc:creator>
    <dc:creator>F Caruana</dc:creator>
    <dc:creator>A Jezzini</dc:creator>
    <dc:creator>V Gallese</dc:creator>
    <dc:creator>G Rizzolatti</dc:creator>
    <dc:identifier>doi:10.1073/pnas.0705985105</dc:identifier>
    <dc:source>Proceedings of the National Academy of Sciences, Vol. 105, No. 6. (12 February 2008), pp. 2209-2213.</dc:source>
    <dc:date>2008-04-11T05:42:37-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Proceedings of the National Academy of Sciences</prism:publicationName>
    <prism:volume>105</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>2209</prism:startingPage>
    <prism:endingPage>2213</prism:endingPage>
    <prism:category>brainthought</prism:category>
    <prism:category>motor</prism:category>
    <prism:category>random</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/100167">
    <title>Visual areas in macaque cortex measured using functional magnetic resonance imaging.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/100167</link>
    <description>&lt;i&gt;J Neurosci, Vol. 22, No. 23. (1 December 2002), pp. 10416-10426.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We describe the first systematic functional magnetic resonance imaging (fMRI) measurements of visual field maps in macaque visual cortex. The boundaries of visual areas V1, V2, V3, V3A, V4, MT/V5, and TEO/V4A were identified using stimuli that create traveling waves of activity in retinotopically organized areas of the visual cortex. Furthermore, these stimuli were used to measure the dimensions of the representations of the central 11 degrees in V1-V3, quantitative visual field eccentricity functions for V1-V3 and MT, and the distribution of foveal and peripheral signals within the occipital lobe. Within areas V1, V2, MT, and portions of V4, the fMRI signals were 5-10 times the noise level (3 mm3 volumes of interest). Signals were weaker but still significant in other cortical regions, including V3, V3A, and TEO. There is good agreement between the fMRI maps and the visual area maps discovered using local anatomical and physiological measurements. The fMRI measurements allow one to obtain a broad view of the distribution of cortical signals, spanning multiple visual areas at a single point in time. The combination of scale and sensitivity demonstrated here create a good foundation for measuring how localized signals and lesions influence the responses and reorganization in widely separated cortical regions. The ability to measure human and macaque maps using the same technology will make it possible to define computational homologies between the two species.</description>
    <dc:title>Visual areas in macaque cortex measured using functional magnetic resonance imaging.</dc:title>

    <dc:creator>AA Brewer</dc:creator>
    <dc:creator>WA Press</dc:creator>
    <dc:creator>NK Logothetis</dc:creator>
    <dc:creator>BA Wandell</dc:creator>
    <dc:source>J Neurosci, Vol. 22, No. 23. (1 December 2002), pp. 10416-10426.</dc:source>
    <dc:date>2005-02-21T19:05:00-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>J Neurosci</prism:publicationName>
    <prism:issn>1529-2401</prism:issn>
    <prism:volume>22</prism:volume>
    <prism:number>23</prism:number>
    <prism:startingPage>10416</prism:startingPage>
    <prism:endingPage>10426</prism:endingPage>
    <prism:category>anatomy</prism:category>
    <prism:category>retinotopy</prism:category>
    <prism:category>v4</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/2811112">
    <title>Visuotopic organization and extent of V3 and V4 of the macaque.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/2811112</link>
    <description>&lt;i&gt;The Journal of neuroscience : the official journal of the Society for Neuroscience, Vol. 8, No. 6. (June 1988), pp. 1831-1845.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The representation of the visual field in areas V3 and V4 of the macaque was mapped with multiunit electrodes. Twelve Macaca fascicularis were studied in repeated recording sessions while immobilized and anesthetized. V3 is a narrow strip (4-5 mm wide) of myeloarchitectonically distinct cortex located immediately anterior to V2. It contains a systematic representation of the central 35-40 degrees of the contralateral visual field; the representation of the upper quadrant is located ventrally in the hemisphere and that of the lower quadrant, dorsally. There is a small gap between the dorsal (V3d) and ventral (V3v) portions of V3. The representation of the horizontal meridian is adjacent to that in V2 and forms the posterior border of both V3d and V3v. Most or all of the anterior border of V3d consists of the representation of the lower vertical meridian. The entire anterior border of V3v consists of the representation of the upper vertical meridian. V4 is a strip of myeloarchitectonically distinct cortex 5-8 mm wide, immediately anterior to V3. It contains a coarse, but systematic, representation of approximately the central 35-40 degrees of the contralateral visual field. The representation of the upper visual field is located ventrally in the hemisphere. Most of the representation of the lower visual field is located dorsally. The posterior border of V4 corresponds to the representation of the vertical meridian, and the representation of the horizontal meridian is located at or near its anterior border. In both V3 and V4, the representation of the central visual field is magnified relative to that of the periphery. In both areas, the size of receptive fields increases with increasing eccentricity; however, at a given eccentricity, the receptive fields of V4 are larger than those of V3.</description>
    <dc:title>Visuotopic organization and extent of V3 and V4 of the macaque.</dc:title>

    <dc:creator>R Gattass</dc:creator>
    <dc:creator>AP Sousa</dc:creator>
    <dc:creator>CG Gross</dc:creator>
    <dc:source>The Journal of neuroscience : the official journal of the Society for Neuroscience, Vol. 8, No. 6. (June 1988), pp. 1831-1845.</dc:source>
    <dc:date>2008-05-18T20:27:20-00:00</dc:date>
    <prism:publicationYear>1988</prism:publicationYear>
    <prism:publicationName>The Journal of neuroscience : the official journal of the Society for Neuroscience</prism:publicationName>
    <prism:issn>0270-6474</prism:issn>
    <prism:volume>8</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>1831</prism:startingPage>
    <prism:endingPage>1845</prism:endingPage>
    <prism:category>organization</prism:category>
    <prism:category>retinotopy</prism:category>
    <prism:category>v4</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/2387138">
    <title>Cortical Connections of Area V4 in the Macaque</title>
    <link>http://www.citeulike.org/user/mrkrause/article/2387138</link>
    <description>&lt;i&gt;Cereb. Cortex, Vol. 18, No. 3. (1 March 2008), pp. 477-499.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;To determine the locus, full extent, and topographic organization of cortical connections of area V4 (visual area 4), we injected anterograde and retrograde tracers under electrophysiological guidance into 21 sites in 9 macaques. Injection sites included representations ranging from central to far peripheral eccentricities in the upper and lower fields. Our results indicated that all parts of V4 are connected with occipital areas V2 (visual area 2), V3 (visual area 3), and V3A (visual complex V3, part A), superior temporal areas V4t (V4 transition zone), MT (medial temporal area), and FST (fundus of the superior temporal sulcus [STS] area), inferior temporal areas TEO (cytoarchitectonic area TEO in posterior inferior temporal cortex) and TE (cytoarchitectonic area TE in anterior temporal cortex), and the frontal eye field (FEF). By contrast, mainly peripheral field representations of V4 are connected with occipitoparietal areas DP (dorsal prelunate area), VIP (ventral intraparietal area), LIP (lateral intraparietal area), PIP (posterior intraparietal area), parieto-occipital area, and MST (medial STS area), and parahippocampal area TF (cytoarchitectonic area TF on the parahippocampal gyrus). Based on the distribution of labeled cells and terminals, projections from V4 to V2 and V3 are feedback, those to V3A, V4t, MT, DP, VIP, PIP, and FEF are the intermediate type, and those to FST, MST, LIP, TEO, TE, and TF are feedforward. Peripheral field projections from V4 to parietal areas could provide a direct route for rapid activation of circuits serving spatial vision and spatial attention. By contrast, the predominance of central field projections from V4 to inferior temporal areas is consistent with the need for detailed form analysis for object vision. 10.1093/cercor/bhm061</description>
    <dc:title>Cortical Connections of Area V4 in the Macaque</dc:title>

    <dc:creator>Leslie Ungerleider</dc:creator>
    <dc:creator>Thelma Galkin</dc:creator>
    <dc:creator>Robert Desimone</dc:creator>
    <dc:creator>Ricardo Gattass</dc:creator>
    <dc:identifier>doi:10.1093/cercor/bhm061</dc:identifier>
    <dc:source>Cereb. Cortex, Vol. 18, No. 3. (1 March 2008), pp. 477-499.</dc:source>
    <dc:date>2008-02-15T19:08:37-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Cereb. Cortex</prism:publicationName>
    <prism:volume>18</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>477</prism:startingPage>
    <prism:endingPage>499</prism:endingPage>
    <prism:category>anatomy</prism:category>
    <prism:category>v4</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/2387542">
    <title>Spatial attention and object-based attention: a comparison within a single task.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/2387542</link>
    <description>&lt;i&gt;Vision Res, Vol. 44, No. 1. (January 2004), pp. 69-81.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;There is now much experimental evidence supporting the idea that visual attention can be deployed in at least two ways: one space-based and other object-based. However, it is not clear whether space- and object-based attention work in an integrated way within the visual system. In this article, we present two experiments in which we compare both components of attention within a cueing paradigm. Participants had to discriminate the orientation of a line that appeared within one of four moving circles, differing in colour. A cue appearing close to one of the four circles indicated the location or circle where the target stimulus was likely to appear. Spatial and object cueing effects were observed: responses were faster when target appeared either at the precued location or within the precued object. In addition, the object-cueing effect occurred only when the cue was spatially invalid and not when it was spatially valid. These results suggest that object- and space-based attention interact, with selection by location being primary over object-based selection.</description>
    <dc:title>Spatial attention and object-based attention: a comparison within a single task.</dc:title>

    <dc:creator>D Soto</dc:creator>
    <dc:creator>MJ Blanco</dc:creator>
    <dc:source>Vision Res, Vol. 44, No. 1. (January 2004), pp. 69-81.</dc:source>
    <dc:date>2008-02-15T23:01:30-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Vision Res</prism:publicationName>
    <prism:issn>0042-6989</prism:issn>
    <prism:volume>44</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>69</prism:startingPage>
    <prism:endingPage>81</prism:endingPage>
    <prism:category>attention</prism:category>
    <prism:category>objects</prism:category>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1299618">
    <title>Representation of cardinal contour overlaps less with representation of nearby angles in cat visual cortex.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1299618</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 90, No. 6. (December 2003), pp. 3912-3920.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Extensive attempts have been made to explain the neurobiological basis of the greater sensitivity of the visual system to vertically or horizontally oriented information than to information presented at oblique angles. However, investigators have largely ignored the overlap of the representation of a given angle with the representation of nearby angles. Recordings based on intrinsic optical signals were obtained in area 17 from 12 adult cats during the presentation of contours in various orientations. A method investigating both amplitude and statistical significance of changes was proposed to evaluate the orientation tuning properties for cell populations in the central area retinotopically corresponding to 0-15 degrees of visual field. Cardinal orientations were found to activate significantly greater areas in the exposed cortical area than the areas activated by oblique orientations. Areas activated by cardinal or oblique contours and those separated from them by 10 degrees were compared. A significantly lower degree of overlap was seen between areas activated by presentation of cardinal contours and areas activated by neighboring orientations compared with those for oblique orientations which overlapped more extensively with neighboring orientations. In addition, areas activated only by cardinal contours were significantly larger than areas activated only by oblique contours. These results demonstrated in cell population level that more cells prefer horizontal or vertical orientations, and these cells are tuned more sharply than oblique selective cells.</description>
    <dc:title>Representation of cardinal contour overlaps less with representation of nearby angles in cat visual cortex.</dc:title>

    <dc:creator>G Wang</dc:creator>
    <dc:creator>S Ding</dc:creator>
    <dc:creator>K Yunokuchi</dc:creator>
    <dc:identifier>doi:10.1152/jn.00219.2003</dc:identifier>
    <dc:source>J Neurophysiol, Vol. 90, No. 6. (December 2003), pp. 3912-3920.</dc:source>
    <dc:date>2007-05-16T08:23:50-00:00</dc:date>
    <prism:publicationYear>2003</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>90</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>3912</prism:startingPage>
    <prism:endingPage>3920</prism:endingPage>
    <prism:category>class</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1212386">
    <title>An oblique effect in human primary visual cortex.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1212386</link>
    <description>&lt;i&gt;Nat Neurosci, Vol. 3, No. 6. (June 2000), pp. 535-536.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Visual perception critically depends on orientation-specific signals that arise early in visual processing. Humans show greater behavioral sensitivity to gratings with horizontal or vertical (0 degrees /90 degrees; 'cardinal') orientations than to other, 'oblique' orientations. Here we used functional magnetic resonance imaging (fMRI) to measure an asymmetry in the responses of human primary visual cortex (V1) to oriented stimuli. We found that neural responses in V1 were larger for cardinal stimuli than for oblique (45 degrees /135 degrees ) stimuli. Thus the fMRI pattern in V1 closely resembled subjects' behavioral judgments; responses in V1 were greater for those orientations that yielded better perceptual performance.</description>
    <dc:title>An oblique effect in human primary visual cortex.</dc:title>

    <dc:creator>CS Furmanski</dc:creator>
    <dc:creator>SA Engel</dc:creator>
    <dc:identifier>doi:10.1038/75702</dc:identifier>
    <dc:source>Nat Neurosci, Vol. 3, No. 6. (June 2000), pp. 535-536.</dc:source>
    <dc:date>2007-04-06T17:40:38-00:00</dc:date>
    <prism:publicationYear>2000</prism:publicationYear>
    <prism:publicationName>Nat Neurosci</prism:publicationName>
    <prism:issn>1097-6256</prism:issn>
    <prism:volume>3</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>535</prism:startingPage>
    <prism:endingPage>536</prism:endingPage>
    <prism:category>class</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/315019">
    <title>Tuning Curve Shift by Attention Modulation in Cortical Neurons: a Computational Study of its Mechanisms.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/315019</link>
    <description>&lt;i&gt;Cereb Cortex (2 September 2005)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Physiological studies of visual attention have demonstrated that focusing attention near a visual cortical neuron's receptive field (RF) results in enhanced evoked activity and RF shift. In this work, we explored the mechanisms of attention induced RF shifts in cortical network models that receive an attentional 'spotlight'. Our main results are threefold. First, whereas a 'spotlight' input always produces toward-attention shift of the population activity profile, we found that toward-attention shifts in RFs of single cells requires multiplicative gain modulation. Secondly, in a feedforward two-layer model, focal attentional gain modulation in first-layer neurons induces RF shift in second-layer neurons downstream. In contrast to experimental observations, the feedforward model typically fails to produce RF shifts in second-layer neurons when attention is directed beyond RF boundaries. We then show that an additive spotlight input combined with a recurrent network mechanism can produce the observed RF shift. Inhibitory effects in a surround of the attentional focus accentuate this RF shift and induce RF shrinking. Thirdly, we considered interrelationship between visual selective attention and adaptation. Our analysis predicts that the RF size is enlarged (respectively reduced) by attentional signal directed near a cell's RF center in a recurrent network (resp. in a feedforward network); the opposite is true for visual adaptation. Therefore, a refined estimation of the RF size during attention and after adaptation would provide a probe to differentiate recurrent versus feedforward mechanisms for RF shifts.</description>
    <dc:title>Tuning Curve Shift by Attention Modulation in Cortical Neurons: a Computational Study of its Mechanisms.</dc:title>

    <dc:creator>Albert Compte</dc:creator>
    <dc:creator>Xiao-Jing Wang</dc:creator>
    <dc:source>Cereb Cortex (2 September 2005)</dc:source>
    <dc:date>2005-09-09T15:53:21-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Cereb Cortex</prism:publicationName>
    <prism:issn>1047-3211</prism:issn>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/1230351">
    <title>Overview of the visual system of Tarsius.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/1230351</link>
    <description>&lt;i&gt;Anat Rec A Discov Mol Cell Evol Biol, Vol. 287, No. 1. (November 2005), pp. 1013-1025.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Tarsiers, which are currently considered to constitute the sister group of anthropoid primates, exhibit a number of morphological specializations such as remarkably large eyes, big ears, long hind legs, and a nearly naked tail. Here we provide an overview of the current state of knowledge on the tarsier visual system and describe recent anatomical observations from our laboratory. Its large eyes notwithstanding, the most remarkable feature of the tarsier brain is the large size and distinct lamination of area V1. Based on the need of tarsier for optimal scotopic vision and acuity to detect small prey in low lighting conditions, tarsiers may have preserved a high level of visual acuity by enlarging V1 at the expense of other areas. The other classically described visual regions are present in tarsier, albeit many borders are not clearly distinct on histochemical or immunohistochemical preparations. Tarsiers also have a large number and unusual distributions of cones in the retina, with high numbers of M/L-cones in the central retina and S-cones surprisingly at the periphery, which may be sensitive to UV light and may be useful for prey detection. These adaptive specializations may together account for the unique nocturnal predatory requirements of tarsiers.</description>
    <dc:title>Overview of the visual system of Tarsius.</dc:title>

    <dc:creator>CE Collins</dc:creator>
    <dc:creator>A Hendrickson</dc:creator>
    <dc:creator>JH Kaas</dc:creator>
    <dc:identifier>doi:10.1002/ar.a.20263</dc:identifier>
    <dc:source>Anat Rec A Discov Mol Cell Evol Biol, Vol. 287, No. 1. (November 2005), pp. 1013-1025.</dc:source>
    <dc:date>2007-04-16T21:58:44-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Anat Rec A Discov Mol Cell Evol Biol</prism:publicationName>
    <prism:issn>1552-4884</prism:issn>
    <prism:volume>287</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>1013</prism:startingPage>
    <prism:endingPage>1025</prism:endingPage>
    <prism:category>random</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/437266">
    <title>Visual cortical mechanisms detecting focal orientation discontinuities</title>
    <link>http://www.citeulike.org/user/mrkrause/article/437266</link>
    <description>&lt;i&gt;Nature, Vol. 378, No. 6556. (30 November 1995), pp. 492-496.&lt;/i&gt;</description>
    <dc:title>Visual cortical mechanisms detecting focal orientation discontinuities</dc:title>

    <dc:creator>Adam Slllito</dc:creator>
    <dc:creator>Kenneth Grieve</dc:creator>
    <dc:creator>Helen Jones</dc:creator>
    <dc:creator>Javier Cudeiro</dc:creator>
    <dc:creator>Justin Davls</dc:creator>
    <dc:identifier>doi:10.1038/378492a0</dc:identifier>
    <dc:source>Nature, Vol. 378, No. 6556. (30 November 1995), pp. 492-496.</dc:source>
    <dc:date>2005-12-14T08:56:48-00:00</dc:date>
    <prism:publicationYear>1995</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:volume>378</prism:volume>
    <prism:number>6556</prism:number>
    <prism:startingPage>492</prism:startingPage>
    <prism:endingPage>496</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/995222">
    <title>Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/995222</link>
    <description>&lt;i&gt;J Neurosci, Vol. 18, No. 18. (15 September 1998), pp. 7426-7435.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Although attention is distributed across time as well as space, the temporal allocation of attention has been less well researched than its spatial counterpart. A temporal analog of the covert spatial orientation task [Posner MI, Snyder CRR, Davidson BJ (1980) Attention and the detection of signals. J Exp Psychol Gen 109:160-174] was developed to compare the neural systems involved in directing attention to spatial locations versus time intervals. We asked whether there exists a general system for allocating attentional resources, independent of stimulus dimension, or whether functionally specialized brain regions are recruited for directing attention toward spatial versus temporal aspects of the environment. We measured brain activity in seven healthy volunteers by using positron emission tomography (PET) and in eight healthy volunteers by using functional magnetic resonance imaging (fMRI). The task manipulated cued attention to spatial locations (S) and temporal intervals (T) in a factorial design. Symbolic central cues oriented subjects toward S only (left or right), toward T only (300 msec or 1500 msec), toward both S and T simultaneously, or provided no information regarding S or T. Subjects also were scanned during a resting baseline condition. Behavioral data showed benefits and costs for performance during temporal attention similar to those established for spatial attention. Brain-imaging data revealed a partial overlap between neural systems involved in the performance of spatial versus temporal orientation of attention tasks. Additionally, hemispheric asymmetries revealed preferential right and left parietal activation for spatial and temporal attention, respectively. Parietal cortex was activated bilaterally by attending to both dimensions simultaneously. This is the first direct comparison of the neural correlates of attending to spatial versus temporal cues.</description>
    <dc:title>Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI.</dc:title>

    <dc:creator>JT Coull</dc:creator>
    <dc:creator>AC Nobre</dc:creator>
    <dc:source>J Neurosci, Vol. 18, No. 18. (15 September 1998), pp. 7426-7435.</dc:source>
    <dc:date>2006-12-14T17:33:54-00:00</dc:date>
    <prism:publicationYear>1998</prism:publicationYear>
    <prism:publicationName>J Neurosci</prism:publicationName>
    <prism:issn>0270-6474</prism:issn>
    <prism:volume>18</prism:volume>
    <prism:number>18</prism:number>
    <prism:startingPage>7426</prism:startingPage>
    <prism:endingPage>7435</prism:endingPage>
    <prism:category>signal_detection</prism:category>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/921651">
    <title>Attentive mechanisms in visual search.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/921651</link>
    <description>&lt;i&gt;Spat Vis, Vol. 17, No. 4-5. (2004), pp. 353-371.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Selective attention can be employed to a restricted region in space or to specific objects. Many properties of this attentional window or spotlight are not well understood. In the present study, we examined the question whether the putative shape of the attentional spotlight can be determined by endogenous cueing within a visual search paradigm. Participants searched for a target among distractors, which were arranged within a vertical or horizontal rectangle. The shape of this rectangle was cued endogenously in a valid or invalid way. Response times (RTs) to correct identification of target orientation were recorded. In Experiment 1, the difference between valid and invalid RTs demonstrated that cueing resulted in elongated attentional areas. This was true only for a group of experienced psychophysical participants, whereas a group of inexperienced participants were not able to use cueing in this way. In Experiment 2, the line motion illusion was used to examine the spatial properties of the attended area. The results confirmed for both experienced and inexperienced participants that attention was confined to the cued elongated area only. We present converging evidence for an attentional spotlight whose shape can be adjusted flexibly by appropriate endogenous cueing.</description>
    <dc:title>Attentive mechanisms in visual search.</dc:title>

    <dc:creator>A Panagopoulos</dc:creator>
    <dc:creator>MW Von Grünau</dc:creator>
    <dc:creator>C Galera</dc:creator>
    <dc:source>Spat Vis, Vol. 17, No. 4-5. (2004), pp. 353-371.</dc:source>
    <dc:date>2006-11-01T17:24:21-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Spat Vis</prism:publicationName>
    <prism:issn>0169-1015</prism:issn>
    <prism:volume>17</prism:volume>
    <prism:number>4-5</prism:number>
    <prism:startingPage>353</prism:startingPage>
    <prism:endingPage>371</prism:endingPage>
    <prism:category>attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/919124">
    <title>Responses in area V4 depend on the spatial relationship between stimulus and attention.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/919124</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 75, No. 3. (March 1996), pp. 1306-1308.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;1. We studied the spatial interaction between stimulus and attention in macaque area V4. Monkeys were required to fixate a small spot while continuously attending to a ring-shaped target within a large array of identical rings. Meanwhile, the response of the V4 cell under study was tested by flashing behaviorally irrelevant bar stimuli in the cell's classical receptive field (CRF). The location of the attended ring was varied across four positions surrounding the CRF, and the location of the bar stimulus was varied across five positions spanning the CRF. 2. Response strength depended on two aspects of the spatial relationship between the stimulus driving the cell (the bar) and the position of attention (the target ring). First, for 49% of the cells studied, responses were greater for bar stimuli near the attended ring; i.e., the receptive field profile shifted toward the attentional focus. Second, for 84% of the cells, the overall response level depended on the direction in which attention lay relative to the stimulus in the CRF (e.g., to the left, right, above, or below). 3. This study confirms a key prediction of spatial models of attention, which postulate enhanced processing of all stimuli near the attentional focus. It also introduces the novel finding that responses are influenced by the relative direction of attention. This result indicates that area V4 carries information about the spatial relationship between visual stimuli and attention.</description>
    <dc:title>Responses in area V4 depend on the spatial relationship between stimulus and attention.</dc:title>

    <dc:creator>CE Connor</dc:creator>
    <dc:creator>JL Gallant</dc:creator>
    <dc:creator>DC Preddie</dc:creator>
    <dc:creator>DC Van Essen</dc:creator>
    <dc:source>J Neurophysiol, Vol. 75, No. 3. (March 1996), pp. 1306-1308.</dc:source>
    <dc:date>2006-10-30T17:10:34-00:00</dc:date>
    <prism:publicationYear>1996</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>75</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>1306</prism:startingPage>
    <prism:endingPage>1308</prism:endingPage>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/919121">
    <title>The spatial distribution of visual attention</title>
    <link>http://www.citeulike.org/user/mrkrause/article/919121</link>
    <description>&lt;i&gt;Vision Research, Vol. 44, No. 12. (June 2004), pp. 1273-1296.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We use a novel search task to investigate the spatial distribution of visual attention, developing a general model from the data. Observers distribute attention to locations defined by stripes with a high penalty for attention to intervening areas. Attended areas are defined by a square-wave grating. A target is in one of the even stripes, and ten false targets (identical to the real target) are in the odd stripes; the observer must attend the even stripes and strongly ignore the odd, reporting the location of the target. As the spatial frequency of the grating increases, performance declines. Variations on this task inform a model that incorporates stimulus input, a &#34;low pass&#34; attentional modulation transfer function, and an acuity function to produce a strength map from which the location with the highest strength is selected. A feature-strength map that adds to the attention map enables the model to predict the results of attention-cued conjunction search experiments, and internal noise enables it to predict the outcome of double-pass experiments and of variations in the number of false targets. The model predicted performance on a trial-by-trial basis for three observers, accounting for approximately 70% of the trials. Actual trial-to-trial variation for an observer, using the double-pass method, is about 76%. For any requested distribution of spatial attention, this general model makes a prediction of the actually achieved distribution.</description>
    <dc:title>The spatial distribution of visual attention</dc:title>

    <dc:creator>Joetta Gobell</dc:creator>
    <dc:creator>Chia-Huei Tseng</dc:creator>
    <dc:creator>George Sperling</dc:creator>
    <dc:identifier>doi:10.1016/j.visres.2004.01.012</dc:identifier>
    <dc:source>Vision Research, Vol. 44, No. 12. (June 2004), pp. 1273-1296.</dc:source>
    <dc:date>2006-10-30T17:09:26-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Vision Research</prism:publicationName>
    <prism:volume>44</prism:volume>
    <prism:number>12</prism:number>
    <prism:startingPage>1273</prism:startingPage>
    <prism:endingPage>1296</prism:endingPage>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/561972">
    <title>Varieties of attention in neutral trials: Linking RT to ERPs and EEG frequencies</title>
    <link>http://www.citeulike.org/user/mrkrause/article/561972</link>
    <description>&lt;i&gt;Psychophysiology, Vol. 43, No. 1. (January 2006), pp. 113-125.&lt;/i&gt;</description>
    <dc:title>Varieties of attention in neutral trials: Linking RT to ERPs and EEG frequencies</dc:title>

    <dc:creator>Ellen Jongen</dc:creator>
    <dc:creator>Fren Smulders</dc:creator>
    <dc:creator>Gerard Breukelen</dc:creator>
    <dc:identifier>doi:10.1111/j.1469-8986.2006.00375.x</dc:identifier>
    <dc:source>Psychophysiology, Vol. 43, No. 1. (January 2006), pp. 113-125.</dc:source>
    <dc:date>2006-03-24T05:52:35-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Psychophysiology</prism:publicationName>
    <prism:issn>0048-5772</prism:issn>
    <prism:volume>43</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>113</prism:startingPage>
    <prism:endingPage>125</prism:endingPage>
    <prism:publisher>Blackwell Publishing</prism:publisher>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/912852">
    <title>Splitting the Spotlight of Visual Attention</title>
    <link>http://www.citeulike.org/user/mrkrause/article/912852</link>
    <description>&lt;i&gt;Neuron, Vol. 42, No. 4. (27 May 2004), pp. 524-526.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Can the brain attend to more than a single location at one time? In this issue of Neuron, McMains and Somers report psychophysical and fMRI evidence showing that subjects can attend to two separate locations concurrently and that divided spatial attention leads to separate zones of attentional enhancement in early visual cortex.</description>
    <dc:title>Splitting the Spotlight of Visual Attention</dc:title>

    <dc:creator>Frank Tong</dc:creator>
    <dc:identifier>doi:10.1016/j.neuron.2004.05.005</dc:identifier>
    <dc:source>Neuron, Vol. 42, No. 4. (27 May 2004), pp. 524-526.</dc:source>
    <dc:date>2006-10-25T22:22:05-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:volume>42</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>524</prism:startingPage>
    <prism:endingPage>526</prism:endingPage>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/910471">
    <title>Population encoding of spatial frequency, orientation, and color in macaque V1.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/910471</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 72, No. 5. (November 1994), pp. 2151-2166.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;1. We recorded local field potentials in the parafoveal representation in the primary visual cortex of anesthetized and paralyzed macaque monkeys with a multicontact electrode that provided for sampling of neural activity at 16 sites along a vertical penetration. Differential recordings at adjacent contacts were transformed into an estimate of current source density (CSD), to provide a measure of local neural activity. 2. We used m-sequence stimuli to map the region of visual space that provided input to the recording site. The local field potential recorded in macaque V1 has a population receptive field (PRF) size of approximately 2 deg2. 3. We assessed spatial tuning by the responses to two-dimensional Gaussian noise, spatially filtered to retain power only within one octave. Responses to achromatic band-limited noise stimuli revealed a prominent band-pass spatial tuning in the upper layers, but a more low-pass spatial tuning in lower layers. 4. We assessed orientation tuning by the responses to band-limited noise whose spectrum was further restricted to lie within 45 degrees wedges. The local field potential showed evidence of orientation tuning at most sites. Orientation tuning in upper and lower layers was manifest by systematic variations not only in response size but also in response dynamics. 5. We assessed chromatic tuning by the responses to isotropic band-limited noise modulated in a variety of directions in tristimulus space. Some lower-layer locations showed a nulling of response under near-isoluminant conditions. However, response dynamics in upper and lower layers depended not only on luminance contrast, but also on chromatic inputs. 6. Responses to near-isoluminant stimuli and to low-contrast luminance modulation were shifted to lower spatial frequencies. 7. We determined the extent to which various temporal frequencies in the response conveyed information concerning spatial frequency, orientation, and color under the steady-state conditions used in these studies. In each case, information is distributed in the response dynamics across a broad temporal frequency range, beginning at 4 Hz (the lowest frequency used). For spatial frequency the information rate remains significant up to at least 25 Hz. For orientation tuning and chromatic tuning, the information rate is lower overall and remains significant up to 13 Hz. In contrast, for texture discrimination, information is shifted to lower temporal frequencies.</description>
    <dc:title>Population encoding of spatial frequency, orientation, and color in macaque V1.</dc:title>

    <dc:creator>JD Victor</dc:creator>
    <dc:creator>K Purpura</dc:creator>
    <dc:creator>E Katz</dc:creator>
    <dc:creator>B Mao</dc:creator>
    <dc:source>J Neurophysiol, Vol. 72, No. 5. (November 1994), pp. 2151-2166.</dc:source>
    <dc:date>2006-10-23T22:18:42-00:00</dc:date>
    <prism:publicationYear>1994</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>72</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>2151</prism:startingPage>
    <prism:endingPage>2166</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/910463">
    <title>Focal attention produces spatially selective processing in visual cortical areas V1, V2, and V4 in the presence of competing stimuli.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/910463</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 70, No. 3. (September 1993), pp. 909-919.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;1. The activity of single neurons was recorded in Macaca mulatta monkeys while they performed tasks requiring them to select a cued stimulus from an array of three to eight stimuli and report the orientation of that stimulus. Stimuli were presented in a circular array centered on the fixation target and scaled to place a single stimulus element within the receptive field of the neuron under study. The timing of the cuing event permitted the directing of visual attention to the spatial location of the correct stimulus before its presentation. 2. The effects of focal attention were examined in cortical visual areas V1, V2, and V4, where a total of 672 neurons were isolated with complete studies obtained for 94 V1, 74 V2, and 74 V4 neurons with receptive-field center eccentricities in the range 1.8-8 degrees. Under certain conditions, directed focal attention results in changes in the response of V1, V2, and V4 neurons to otherwise identical stimuli at spatially specific locations. 3. More than one-third of the neurons in each area displayed differential sensitivity when attention was directed toward versus away from the spatial location of the receptive field just before and during stimulus presentation. Both relative increases and decreases in neural activity were observed in association with attention directed at receptive-field stimuli. 4. The presence of multiple competing stimuli in the visual field was a major factor determining the presence or absence of differential sensitivity. About two-thirds of the neurons that were differentially sensitive to the attending condition in the presence of competing stimuli were not differentially sensitive when single stimuli were presented in control studies. For V1 and V2 neurons the presence of only a few (3-4) competing stimuli was sufficient for a majority of the neurons studied; a majority of the V4 neurons required six to eight stimuli in the array before significant differences between attending conditions occurred. 5. For V1 and V2 neurons the neuronal sensitivity differences between attending conditions were observed primarily at or near the peak of the orientation tuning sensitivity for each neuron; the differences were evident over a broader range of orientations in V4 neurons. 6. In conclusion, neural correlates of focal attentive processes can be observed in visual cortical processing in areas V1 and V2 as well as area V4 under conditions that require stimulus feature analysis and selective spatial processing within a field of competing stimuli.(ABSTRACT TRUNCATED AT 400 WORDS)</description>
    <dc:title>Focal attention produces spatially selective processing in visual cortical areas V1, V2, and V4 in the presence of competing stimuli.</dc:title>

    <dc:creator>BC Motter</dc:creator>
    <dc:source>J Neurophysiol, Vol. 70, No. 3. (September 1993), pp. 909-919.</dc:source>
    <dc:date>2006-10-23T21:51:14-00:00</dc:date>
    <prism:publicationYear>1993</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:issn>0022-3077</prism:issn>
    <prism:volume>70</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>909</prism:startingPage>
    <prism:endingPage>919</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/910461">
    <title>Common and differential effects of attentive fixation on the excitability of parietal and prestriate (V4) cortical visual neurons in the macaque monkey.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/910461</link>
    <description>&lt;i&gt;J Neurosci, Vol. 7, No. 7. (July 1987), pp. 2239-2255.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The excitability of cortical neurons of prestriate area V4 and area PG of the inferior parietal lobule were examined using the method of single-neuron analysis in awake macaque monkeys. Levels of excitability were measured as the intensity of response to optimal visual stimuli placed in the most responsive region of the cell's receptive field. Physically and retinotopically identical stimuli were delivered during eye movement pauses under 3 conditions: during a no-task state in which the animal was awake and alert, but not receiving or expecting rewards or working in any task; between trials of the task state, the intertrial interval, while the animal awaited the appearance of a fixation target; and during the foreperiod of the task state, as the animal attentively fixated a small target light, waiting to detect its dimming in order to receive liquid reward. Experiments were carried out in 6 hemispheres of 4 monkeys; both V4 and PG were examined through the same chamber placements in 2 hemispheres. A total of 478 neurons in V4 and PG were identified as visual; quantitative studies were done on 146 in V4 and 54 in PG. We found in these experiments a common effect, a 3-4-fold facilitation of the responses of both V4 and PG visual neurons during the task state as compared to in the no-task state, and a differential effect, in that V4 neurons showed a similar 3-4-fold facilitation of responses to stimuli presented during the intertrial interval, whereas PG neuronal responses during this interval were similar to those evoked in the no-task state. We describe the functional properties of V4 neurons studied in the waking state. The findings are discussed in relation to the positions of these 2 areas in the occipitoparietal and occipitotemporal transcortical visual systems and to their respective roles in visuospatial perception and pattern recognition. They are also discussed with regard to the candidate neural mechanisms through which the changes in cortical neuronal excitability might be mediated.</description>
    <dc:title>Common and differential effects of attentive fixation on the excitability of parietal and prestriate (V4) cortical visual neurons in the macaque monkey.</dc:title>

    <dc:creator>VB Mountcastle</dc:creator>
    <dc:creator>BC Motter</dc:creator>
    <dc:creator>MA Steinmetz</dc:creator>
    <dc:creator>AK Sestokas</dc:creator>
    <dc:source>J Neurosci, Vol. 7, No. 7. (July 1987), pp. 2239-2255.</dc:source>
    <dc:date>2006-10-23T21:47:01-00:00</dc:date>
    <prism:publicationYear>1987</prism:publicationYear>
    <prism:publicationName>J Neurosci</prism:publicationName>
    <prism:issn>0270-6474</prism:issn>
    <prism:volume>7</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>2239</prism:startingPage>
    <prism:endingPage>2255</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/910459">
    <title>Enhancement of visual responses in monkey striate cortex and frontal eye fields</title>
    <link>http://www.citeulike.org/user/mrkrause/article/910459</link>
    <description>&lt;i&gt;J Neurophysiol, Vol. 39, No. 4. (1 July 1976), pp. 766-772.&lt;/i&gt;</description>
    <dc:title>Enhancement of visual responses in monkey striate cortex and frontal eye fields</dc:title>

    <dc:creator>RH Wurtz</dc:creator>
    <dc:creator>CW Mohler</dc:creator>
    <dc:source>J Neurophysiol, Vol. 39, No. 4. (1 July 1976), pp. 766-772.</dc:source>
    <dc:date>2006-10-23T21:33:36-00:00</dc:date>
    <prism:publicationYear>1976</prism:publicationYear>
    <prism:publicationName>J Neurophysiol</prism:publicationName>
    <prism:volume>39</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>766</prism:startingPage>
    <prism:endingPage>772</prism:endingPage>
    <prism:category>spatial_attention</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/839450">
    <title>Deciphering the Spike Train of a Sensory Neuron: Counts and Temporal Patterns in the Rat Whisker Pathway</title>
    <link>http://www.citeulike.org/user/mrkrause/article/839450</link>
    <description>&lt;i&gt;J. Neurosci., Vol. 26, No. 36. (6 September 2006), pp. 9216-9226.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Rats achieve remarkable texture discriminations by sweeping their facial whiskers along surfaces. This work explores how neurons at two levels of the sensory pathway, trigeminal ganglion and barrel cortex, carry information about such stimuli. We identified two biologically plausible coding mechanisms, spike counts and patterns, and used &#34;mutual information&#34; to quantify how reliably neurons in anesthetized rats reported texture when &#34;decoded&#34; according to these candidate mechanisms. For discriminations between surfaces of different coarseness, spike counts could be decoded reliably and rapidly (within 30 ms after stimulus onset in cortex). Information increased as responses were considered as spike patterns with progressively finer temporal precision. At highest temporal resolution (spike sequences across six bins of 4 ms), the quantity of &#34;information&#34; in patterns rose 150% for ganglion neurons and 110% for cortical neurons above that in spike counts. In some cases, patterns permitted discriminations not supported by spike counts alone. 10.1523/JNEUROSCI.1491-06.2006</description>
    <dc:title>Deciphering the Spike Train of a Sensory Neuron: Counts and Temporal Patterns in the Rat Whisker Pathway</dc:title>

    <dc:creator>Ehsan Arabzadeh</dc:creator>
    <dc:creator>Stefano Panzeri</dc:creator>
    <dc:creator>Mathew Diamond</dc:creator>
    <dc:identifier>doi:10.1523/JNEUROSCI.1491</dc:identifier>
    <dc:source>J. Neurosci., Vol. 26, No. 36. (6 September 2006), pp. 9216-9226.</dc:source>
    <dc:date>2006-09-11T21:29:29-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>J. Neurosci.</prism:publicationName>
    <prism:volume>26</prism:volume>
    <prism:number>36</prism:number>
    <prism:startingPage>9216</prism:startingPage>
    <prism:endingPage>9226</prism:endingPage>
    <prism:category>temporal_coding</prism:category>
    <prism:category>whiskers</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/150306">
    <title>Computational modelling of visual attention.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/150306</link>
    <description>&lt;i&gt;Nat Rev Neurosci, Vol. 2, No. 3. (March 2001), pp. 194-203.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Five important trends have emerged from recent work on computational models of focal visual attention that emphasize the bottom-up, image-based control of attentional deployment. First, the perceptual saliency of stimuli critically depends on the surrounding context. Second, a unique 'saliency map' that topographically encodes for stimulus conspicuity over the visual scene has proved to be an efficient and plausible bottom-up control strategy. Third, inhibition of return, the process by which the currently attended location is prevented from being attended again, is a crucial element of attentional deployment. Fourth, attention and eye movements tightly interplay, posing computational challenges with respect to the coordinate system used to control attention. And last, scene understanding and object recognition strongly constrain the selection of attended locations. Insights from these five key areas provide a framework for a computational and neurobiological understanding of visual attention.</description>
    <dc:title>Computational modelling of visual attention.</dc:title>

    <dc:creator>L Itti</dc:creator>
    <dc:creator>C Koch</dc:creator>
    <dc:source>Nat Rev Neurosci, Vol. 2, No. 3. (March 2001), pp. 194-203.</dc:source>
    <dc:date>2005-04-06T14:39:49-00:00</dc:date>
    <prism:publicationYear>2001</prism:publicationYear>
    <prism:publicationName>Nat Rev Neurosci</prism:publicationName>
    <prism:issn>1471-003X</prism:issn>
    <prism:volume>2</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>194</prism:startingPage>
    <prism:endingPage>203</prism:endingPage>
    <prism:category>feature_attention</prism:category>
    <prism:category>model</prism:category>
    <prism:category>review</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/785139">
    <title>Dynamics of spatial frequency tuning in macaque V1.</title>
    <link>http://www.citeulike.org/user/mrkrause/article/785139</link>
    <description>&lt;i&gt;J Neurosci, Vol. 22, No. 5. (1 March 2002), pp. 1976-1984.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Spatial frequency tuning in the lateral geniculate nucleus of the thalamus (LGN) and primary visual cortex (V1) differ substantially. LGN responses are largely low-pass in spatial frequency, whereas the majority of V1 neurons have bandpass characteristics. To study this transformation in spatial selectivity, we measured the dynamics of spatial frequency tuning using a reverse correlation technique. We find that a large proportion of V1 cells show inseparable responses in spatial frequency and time. In several cases, tuning becomes more selective over the course of the response, and the preferred spatial frequency shifts from low to higher frequencies. Many responses also show suppression at low spatial frequencies, which correlates with the increases in response selectivity and the shifts of preferred spatial frequency. These results indicate that suppression plays an important role in the generation of bandpass selectivity in V1.</description>
    <dc:title>Dynamics of spatial frequency tuning in macaque V1.</dc:title>

    <dc:creator>CE Bredfeldt</dc:creator>
    <dc:creator>DL Ringach</dc:creator>
    <dc:source>J Neurosci, Vol. 22, No. 5. (1 March 2002), pp. 1976-1984.</dc:source>
    <dc:date>2006-08-03T22:20:19-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>J Neurosci</prism:publicationName>
    <prism:issn>1529-2401</prism:issn>
    <prism:volume>22</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>1976</prism:startingPage>
    <prism:endingPage>1984</prism:endingPage>
    <prism:category>reverse_correlation</prism:category>
    <prism:category>v1</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mrkrause/article/505650">
    <title>WHAT ATTRIBUTES GUIDE THE DEPLOYMENT OF VISUAL ATTENTION AND HOW DO THEY DO IT?</title>
    <link>http://www.citeulike.org/user/mrkrause/article/505650</link>
    <description>&lt;i&gt;Nat Rev Neurosci, Vol. 5, No. 6. (June 2004), pp. 495-501.&lt;/i&gt;</description>
    <dc:title>WHAT ATTRIBUTES GUIDE THE DEPLOYMENT OF VISUAL ATTENTION AND HOW DO THEY DO IT?</dc:title>

    <dc:creator>Jeremy Wolfe</dc:creator>
    <dc:creator>Todd Horowitz</dc:creator>
    <dc:identifier>doi:10.1038/nrn1411 </dc:identifier>
    <dc:source>Nat Rev Neurosci, Vol. 5, No. 6. (June 2004), pp. 495-501.</dc:source>
    <dc:date>2006-02-15T10:43:55-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Nat Rev Neurosci</prism:publicationName>
    <prism:volume>5</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>495</prism:startingPage>
    <prism:endingPage>501</prism:endingPage>
    <prism:category>feature_attention</prism:category>
    <prism:category>review</prism:category>
    <prism:category>vision</prism:category>
    <prism:category>visual_search</prism:category>
</item>



</rdf:RDF>

