tkf's neuroscience [35 articles] Export

Recent papers added to tkf's library classified by the tag neuroscience. You can also see everyone's neuroscience.

	Spiking Neuron Models [My Copy] (15 August 2002) by Wulfram Gerstner, Werner M. Kistler posted to spiking-neurons neuroscience computational book by tkf on 2009-09-11 07:36:05 as along with 14 people and 1 group mthomure fbaroni flips aureli camster brian zinp Dax42 paulclinger edauce jborn superflunky napvasconcelos DeeJay dbk-lab
	Mean-field analysis of neuronal spike dynamics [My Copy] Network: Computation in Neural Systems (August 1993), pp. 259-284. by Alessandro Treves posted to spiking-neurons neuroscience mean-filed integrate-and-fire computational by tkf on 2009-09-11 07:12:47 as
	Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. [My Copy] Journal of computational neuroscience, Vol. 8, No. 3. (n 2000), pp. 183-208. by Nicolas Brunel posted to spiking-neurons neuroscience integrate-and-fire computational by tkf on 2009-09-10 13:38:38 as along with 4 people fbaroni vtraag PeterHiemeyer mura
	NEUROSCIENCE: A Quiescent Working Memory [My Copy] Science, Vol. 319, No. 5869. (14 March 2008), pp. 1495-1496. by Stefano Fusi posted to working-memory neuroscience by tkf on 2009-08-22 05:07:25 as along with 2 people fbaroni CharlesGaylord
	Dynamics of the instantaneous firing rate in response to changes in input statistics. [My Copy] Journal of computational neuroscience, Vol. 18, No. 3. (June 2005), pp. 311-321. by N. Fourcaud-Trocmé, N. Brunel posted to dynamics firing-rate integrate-and-fire model neuroscience review by tkf on 2009-07-16 01:17:13 as along with 1 person fbaroni
	A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input [My Copy] Biological Cybernetics, Vol. 95, No. 1. (1 July 2006), pp. 1-19. by A. Burkitt posted to integrate-and-fire model neuroscience review by tkf on 2009-07-16 01:16:29 as along with 5 people memming sam1001 fbaroni bayesian chunchung
	Irregular persistent activity induced by synaptic excitatory feedback. [My Copy] Frontiers in computational neuroscience, Vol. 1 (2007) by Francesca Barbieri, Nicolas Brunel posted to irregular neuroscience persistent_activity by tkf on 2009-07-15 07:56:28 as along with 2 people PaperCollector fbaroni
	Very long transients, irregular firing, and chaotic dynamics in networks of randomly connected inhibitory integrate-and-fire neurons [My Copy] Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 79, No. 3. (2009), 031909. by Rüdiger Zillmer, Nicolas Brunel, David Hansel posted to computational model neuralnetworks neuroscience by tkf on 2009-07-10 17:29:37 as
	Electrical Coupling Mediates Tunable Low-Frequency Oscillations and Resonance in the Cerebellar Golgi Cell Network [My Copy] Neuron, Vol. 61, No. 1. (15 January 2009), pp. 126-139. by Guillaume P. Dugué, Nicolas Brunel, Vincent Hakim, et al.Eric Schwartz, Mireille Chat, Maxime Lévesque, Richard Courtemanche, Clément Léna, Stéphane Dieudonné posted to computational model neuralnetworks neuroscience by tkf on 2009-07-10 17:29:33 as
	Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons. [My Copy] PLoS computational biology, Vol. 4, No. 12. (December 2008) by Alberto Mazzoni, Stefano Panzeri, Nikos K. Logothetis, Nicolas Brunel posted to computational model neuralnetworks neuroscience by tkf on 2009-07-10 17:29:29 as along with 3 people markoffkin fbaroni j-ito
	Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities [My Copy] Journal of Computational Neuroscience, Vol. 26, No. 3. (1 June 2009), pp. 369-392. by Srdjan Ostojic, Nicolas Brunel, Vincent Hakim posted to computational model neuralnetworks neuroscience by tkf on 2009-07-10 17:29:22 as along with 1 person toerst
	Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex? [My Copy] Frontiers in neuroscience, Vol. 2, No. 1. (July 2008), pp. 114-122. by Francesca Barbieri, Nicolas Brunel posted to attractor computational model neuralnetworks neuroscience by tkf on 2009-07-10 17:23:08 as along with 1 person fbaroni
	The statistics of repeating patterns of cortical activity can be reproduced by a model network of stochastic binary neurons. [My Copy] The Journal of neuroscience : the official journal of the Society for Neuroscience, Vol. 28, No. 42. (15 October 2008), pp. 10734-10745. by Alex Roxin, Vincent Hakim, Nicolas Brunel posted to computational model neuralnetworks neuroscience by tkf on 2009-07-10 17:22:56 as along with 2 people fbaroni PaperCollector
	Specific synapses develop preferentially among sister excitatory neurons in the neocortex [My Copy] Nature, Vol. 458, No. 7237. (08 February 2009), pp. 501-504. by Yong-Chun Yu, Ronald S. Bultje, Xiaoqun Wang, Song-Hai Shi posted to neuroscience swingybrainblogspotcom by tkf on 2009-05-13 22:39:18 as along with 5 people bsuter tarokiritani davidcsterratt sen_cheng pgastrein
	The subcellular organization of neocortical excitatory connections. [My Copy] Nature, Vol. 457, No. 7233. (26 February 2009), pp. 1142-1145. by Leopoldo Petreanu, Tianyi Mao, Scott M. Sternson, Karel Svoboda posted to neuroscience swingybrainblogspotcom by tkf on 2009-05-13 22:39:05 as along with 5 people and 1 group tarokiritani arvin davidcsterratt subhacom fbaroni Neuroscience
	Intracortical circuits of pyramidal neurons reflect their long-range axonal targets [My Copy] Nature, Vol. 457, No. 7233. (18 January 2009), pp. 1133-1136. by Solange P. Brown, Shaul Hestrin posted to neuroscience swingybrainblogspotcom by tkf on 2009-05-13 22:38:19 as along with 6 people bsuter jclau josepe tarokiritani davidcsterratt pgastrein
	Extracting information from neuronal populations: information theory and decoding approaches [My Copy] Nature Reviews Neuroscience, Vol. 10, No. 3. (01 March 2009), pp. 173-185. by Rodrigo Quian Quiroga, Stefano Panzeri posted to decoding information-theory neuroscience swingybrainblogspotcom by tkf on 2009-05-12 11:31:15 as along with 6 people flieder manabu-s johnabender flips subhacom bayesian
	Banishing the homunculus: making working memory work [My Copy] Neuroscience, Vol. In Press, Corrected Proof by T. E. Hazy, M. J. Frank, R. C. O'Reilly posted to computational learning model neuroscience pfc sgst-jntn working-memory by tkf on 2009-05-08 10:41:14 as along with 5 people paulclinger memphisphil neural_nets_chapter khm cassandragould
	Thermodynamic constraints on neural dimensions, firing rates, brain temperature and size. [My Copy] Journal of computational neuroscience (5 May 2009) by Jan Karbowski posted to computational neuroscience thermodynamics by tkf on 2009-05-08 00:17:51 as
	Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. [My Copy] Neural Comput, Vol. 18, No. 6. (June 2006), pp. 1318-1348. by J. P. Pfister, T. Toyoizumi, D. Barber, W. Gerstner posted to computational learning-algorithm neuroscience spiking-neurons supervised-learning by tkf on 2009-05-06 22:10:39 as along with 5 people jotwin memming mura edauce sen_cheng
	Reinforcement learning in populations of spiking neurons [My Copy] Nat Neurosci, Vol. 12, No. 3. (15 February 2009), pp. 250-252. by Robert Urbanczik, Walter Senn posted to computational learning neuroscience reinforcement-learning spiking-neurons by tkf on 2009-05-06 22:06:16 as along with 6 people tyrell_turing BBoyButzemann klouie davidcsterratt sen_cheng subhacom
	Neural Excitability, Spiking, and Bursting [My Copy] International Journal of Bifurcation and Chaos, Vol. 10, No. 6. (2000), pp. 1171-1266. by Eugene M. Izhikevich posted to bifurcation bursting computational dynamical-system dynamics model neuroscience review spiking-neurons by tkf on 2009-05-05 11:34:56 as
	Polychronization: Computation with Spikes [My Copy] Neural Computation, Vol. 18, No. 2. (February 2006), pp. 245-282. by Eugene M. Izhikevich posted to computational gamma-rhythms model neuroscience self-organize spiking-neurons stdp by tkf on 2009-05-05 11:18:20 as along with 11 people and 5 groups Sergey_gerbek bayesian rsantana paulclinger jotwin chchatham sinverso fbaroni robotact balicea sylvain_chevallier Neuroscience NeuronDynamics NeuralNetworks Cognitive_Development_Center_-_Neural_Nets_Chapter BrainReadingGroup
	Large-scale model of mammalian thalamocortical systems [My Copy] Proceedings of the National Academy of Sciences, Vol. 105, No. 9. (4 March 2008), pp. 3593-3598. by Eugene M. Izhikevich, Gerald M. Edelman posted to computational model neuroscience simulation thalamocortical by tkf on 2009-05-05 11:03:34 as along with 15 people and 4 groups Sergey_gerbek flips rnaylor robertlischke davidcsterratt iPlant ackman bayesian yama_tah fbaroni j-ito apeyrache mbregman lenov mattions Semantic-Social-Networks Computational-Neurobiology Complex_Brain_Networks Neuroscience
	Response of electrically coupled spiking neurons: A cellular automaton approach [My Copy] Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 73, No. 1. (2006), 011907. by Lucas S. Furtado, Mauro Copelli posted to bioelectric-phenomena cellular-automata cellular-biophysics computational eye neurophysiology neuroscience physiological-models probability by tkf on 2009-05-05 06:30:46 as
	Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system. [My Copy] Philos Trans R Soc Lond B Biol Sci, Vol. 362, No. 1485. (29 September 2007), pp. 1601-1613. by T. E. Hazy, M. J. Frank, R. C. O'reilly posted to basal-ganglia computational executive-functions model neuroscience pfc reinforcement-learning working-memory by tkf on 2009-05-02 05:03:43 as along with 1 person cassandragould
	Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia [My Copy] Neural Computation, Vol. 18, No. 2. (1 February 2005), pp. 283-328. by Randall C. O'Reilly, Michael J. Frank posted to computational lstm model neuroscience pfc reinforcement-learning working-memory sgst-jntn by tkf on 2009-05-02 04:53:21 as along with 4 people and 1 group Whyking awooga kira josepe Computational-Neurobiology
	Role of Delays in Shaping Spatiotemporal Dynamics of Neuronal Activity in Large Networks [My Copy] Physical Review Letters, Vol. 94, No. 23. (Jun 2005), 238103. by Alex Roxin, Nicolas Brunel, David Hansel posted to computational delay dynamics neuronal-dynamics neuroscience spatio-temporal by tkf on 2009-05-02 04:16:01 as along with 2 people xlli ben
	How spike generation mechanisms determine the neuronal response to fluctuating inputs. [My Copy] J Neurosci, Vol. 23, No. 37. (17 December 2003), pp. 11628-11640. by Fourcaud N. Trocmé, D. Hansel, C. van Vreeswijk, N. Brunel posted to computational exponential-integrate-and-fire integrate-and-fire neuronal-dynamics neuroscience spiking-neurons by tkf on 2009-05-02 04:14:07 as along with 4 people davidcsterratt bayesian fbaroni sylvain_chevallier
	Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell. [My Copy] Neuron, Vol. 43, No. 5. (2 September 2004), pp. 745-757. by Nicolas Brunel, Vincent Hakim, Philippe Isope, Jean-Pierre P. Nadal, Boris Barbour posted to computational memory-storage neuroscience perceptron synaptic-plasticity by tkf on 2009-05-02 04:11:39 as along with 5 people knuu pgastrein balicea fbaroni borisbarbour
	Limits on the memory storage capacity of bounded synapses. [My Copy] Nat Neurosci (11 March 2007) by Stefano Fusi, L F F. Abbott posted to brain-anatomy computational hopfield memory-storage model neuroscience synaptic-plasticity by tkf on 2009-05-02 04:09:17 as along with 7 people and 1 group fbaroni sternshein balicea davidcsterratt subhacom erk sen_cheng VisionLab
	Synaptic reverberation underlying mnemonic persistent activity. [My Copy] Trends in Neuroscience, Vol. 24, No. 8. (August 2001), pp. 455-463. by X. J. Wang posted to computational neuroscience nmda persistent_activity recurrent_network by tkf on 2009-05-02 04:05:26 as along with 1 person psimen
	Dendritic encoding of sensory stimuli controlled by deep cortical interneurons. [My Copy] Nature, Vol. 457, No. 7233. (26 February 2009), pp. 1137-1141. by Masanori Murayama, Enrique Pérez-Garci, Thomas Nevian, Tobias Bock, Walter Senn, Matthew E. Larkum posted to computational encoding integrate-and-fire neocortex neuroscience swingybrainblogspotcom by tkf on 2009-05-02 03:54:40 as along with 2 people didadi davidcsterratt
	Spiking neurons can learn to solve information bottleneck problems and extract independent components. [My Copy] Neural computation, Vol. 21, No. 4. (April 2009), pp. 911-959. by Stefan Klampfl, Robert Legenstein, Wolfgang Maass posted to computational ica neuroscience spiking-neurons by tkf on 2009-05-02 03:39:37 as along with 1 person sylvain_chevallier
	Information processing, dimensionality reduction and reinforcement learning in the basal ganglia [My Copy] Progress in Neurobiology, Vol. 71, No. 6. (December 2003), pp. 439-473. by Izhar Bar-Gad, Genela Morris, Hagai Bergman posted to basal-ganglia computational dimensionality-reduction neuroscience reinforcement-learning by tkf on 2009-05-02 03:37:15 as along with 2 people stain fcummins

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neuroscience	35
computational	30
rnn	23
model	17
learning	17
neuralnetworks	16
ann	14
spiking-neurons	13
learning-algorithm	13
thesis-b4	12
cognition	11
robotics	11
connectionism	10
integrate-and-fire	7
reinforcement-learning	7
neural-networks	6
working-memory	6
review	5
swingybrainblogspotcom	5
formal-language	5
language	5
dynamics	5
lstm	4
fsm-extraction	4
dynamical-system	4
fsm	4
pfc	4
long-term-dependencies	4
nano	3
carbon-nanotube	3
sgst-jntn	3
gradient-descent	3
hodgkin_huxley	3
bayes	3
intelligence	3
nanorobotics	3
collective	2
supervised-learning	2
bayesian_inference	2
memory-storage	2
bifurcation	2
thesis-b4-ex	2
period-doubling	2
rate_models	2
neuronal-dynamics	2
demonstration-based	2
differential-difference-equations	2
basal-ganglia	2
memory	2
fixed-weight-nn	2
persistent_activity	2
ctrnn	2
simple-recurrent-network	2
stability	2
synaptic-plasticity	2
survey	2
second-order-rnn	2
compositionality	2
complex-systems	2
machine-learning	1
alternative	1
gamma-rhythms	1
ica	1
children	1
online-learning	1
hopfield	1
long_short_term_memory	1
center-crossing	1
cognitive-load-theory	1
pattern-recognition	1
bioelectric-phenomena	1
bptt	1
thermodynamics	1
excitatory_interactions	1
mean-filed	1
dimensionality-reduction	1
firing-rate	1
encoding	1
delay	1
stdp	1
regular-language	1
brain-anatomy	1
striatum	1
edge-of-chaos	1
reward	1
rbf	1
physiological-models	1
verb	1
networks	1
biology	1
spatio-temporal	1
irregular	1
information-theory	1
energy_landscape	1
formal_language	1
positive-learning-data	1
intrinsic_noise	1
actor-critic-algorithms	1
decision-making	1
kalman-filter	1
word-learning	1
cellular-automata	1
decoding	1
self-organize	1
executive-functions	1
game	1
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evolutionary-robotics	1
recurrent_network	1
large-deviations	1
neurophysiology	1
neocortex	1
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eye	1
exponential-integrate-and-fire	1
development	1
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perceptron	1
synaptic_plasticity	1
probability	1
book	1
thalamocortical	1
social_balance	1
cellular-biophysics	1
attractor	1
psycholinguistics	1
motor_primitives	1
context_free_language	1
acquisition	1
theoretical	1
bioinformatics	1
nmda	1
bursting	1
basal_ganglia	1

tkf's neuroscience [35 articles] Export

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