tkf's library 102 articles Export

	Bayesian Spiking Neurons II: Learning [My Copy] Neural Computation, Vol. 20, No. 1. (January 2008), pp. 118-145. by Sophie Deneve posted to spiking-neurons learning-algorithm learning bayesian_inference bayes by tkf on 2009-10-31 21:59:34 as along with 2 people BBoyButzemann dcoates
	Bayesian Spiking Neurons I: Inference [My Copy] Neural Computation, Vol. 20, No. 1. (January 2008), pp. 91-117. by Sophie Deneve posted to spiking-neurons bayesian_inference bayes by tkf on 2009-10-31 21:59:04 as along with 1 person BBoyButzemann
	Role of delays in shaping spatiotemporal dynamics of neuronal activity in large networks. [My Copy] Physical review letters, Vol. 94, No. 23. (17 June 2005) by Alex Roxin, Nicolas Brunel, David Hansel posted to rate_models period-doubling hodgkin_huxley collective bifurcation by tkf on 2009-10-28 05:30:49 as along with 4 people and 5 groups Sergey_gerbek PaperCollector fbaroni suizan Neuroscience NeuronDynamics NeuralNetworks Computational-Neurobiology 8_01
	Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation. [My Copy] Physical review letters, Vol. 99, No. 23. (7 December 2007) by Demian Battaglia, Nicolas Brunel, David Hansel posted to rate_models period-doubling neural-networks hodgkin_huxley excitatory_interactions dynamical-system collective by tkf on 2009-10-28 05:21:53 as along with 1 person fbaroni
	How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons [My Copy] Neural Comput., Vol. 18, No. 5. (May 2006), pp. 1066-1110. by Nicolas Brunel, David Hansel posted to spiking-neurons neural-networks integrate-and-fire hodgkin_huxley by tkf on 2009-10-28 05:12:36 as along with 1 person cudmore
	Gradient learning in spiking neural networks by dynamic perturbation of conductances. [My Copy] Physical review letters, Vol. 97, No. 4. (28 July 2006) by Ila R. Fiete, H. Sebastian Seung posted to spiking-neurons reinforcement-learning neural-networks by tkf on 2009-10-26 07:34:47 as along with 1 person fbaroni
	Memory traces in dynamical systems [My Copy] Proceedings of the National Academy of Sciences, Vol. 105, No. 48. (2 December 2008), pp. 18970-18975. by Surya Ganguli, Dongsung Huh, Haim Sompolinsky posted to memory dynamical-system by tkf on 2009-10-25 15:32:04 as along with 4 people markoffkin fbaroni flieder sen_cheng
	Nonsomatotopic Organization of the Higher Motor Centers in Octopus [My Copy] Current Biology (17 September 2009) by Letizia Zullo, German Sumbre, Claudio Agnisola, Tamar Flash, Binyamin Hochner posted to motor_primitives by tkf on 2009-10-02 14:42:45 as
	Long Short-Term Memory Learns Context Free and Context Sensitive Languages [My Copy] In Proceedings of the ICANNGA 2001 Conference, Vol. 1 (2001), pp. 134-137. by Felix Gers, Jürgen Schmidhuber, Felix A. Gers Jurgen Schmidhuber posted to rnn long_short_term_memory formal_language context_free_language by tkf on 2009-09-22 09:39:32 as
	Roots of the Transcendental Equation Associated with a Certain Difference-Differential Equation [My Copy] J. London Math. Soc., Vol. s1-25, No. 3. (1 July 1950), pp. 226-232. by N. D. Hayes posted to stability differential-difference-equations by tkf on 2009-09-13 15:21:37 as
	Exact stability criteria for delay differential and difference equations [My Copy] Applied Mathematics Letters, Vol. 20, No. 2. (February 2007), pp. 183-188. by H. Matsunaga posted to stability differential-difference-equations by tkf on 2009-09-13 14:40:09 as along with 1 person mrkn
	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
	Short-Term Memory in Orthogonal Neural Networks [My Copy] Physical Review Letters, Vol. 92, No. 14. (Apr 2004), 148102. by Olivia L. White, Daniel D. Lee, Haim Sompolinsky posted to theoretical rnn memory by tkf on 2009-08-15 16:07:27 as
	Real-time computation at the edge of chaos in recurrent neural networks [My Copy] Neural Comput., Vol. 16, No. 7. (July 2004), pp. 1413-1436. by Nils Bertschinger, Thomas Natschläger posted to edge-of-chaos rnn by tkf on 2009-07-27 03:59:10 as along with 5 people apeyrache fbaroni rwebb mik dpf
	Current Status of Nanomedicine and Medical Nanorobotics [My Copy] Journal of Computational and Theoretical Nanoscience, Vol. 2, No. 1. (March 2005), pp. 1-25. by Robert A. Freitas posted to nano nanorobotics by tkf on 2009-07-16 06:45:43 as
	Nano- and microrobotics: how far is the reality? [My Copy] Expert Review of Anticancer Therapy, Vol. 8, No. 12. (December 2008), pp. 1891-1897. by Ciaran Hill, Antonio Amodeo, Jean V. Joseph, Hitendra R. H. Patel posted to nano nanorobotics by tkf on 2009-07-16 06:27:48 as
	THREE-DIMENSIONAL INTEGRATION IN MICROELECTRONICS: MOTIVATION, PROCESSING, AND THERMOMECHANICAL MODELING [My Copy] Chemical Engineering Communications, Vol. 195, No. 8. (August 2008), pp. 847-888. by Timothy S. Cale, Jian-Qiang Lu, Ronald J. Gutmann posted to nano nanorobotics by tkf on 2009-07-16 06:27:01 as
	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
	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. (26 March 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 4 people 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
	Cognitive load theory: implications of cognitive load theory on the design of learning [My Copy] Learning and Instruction, Vol. 12, No. 1. (February 2002), pp. 1-10. by Paul A. Kirschner posted to cognitive-load-theory working-memory by tkf on 2009-05-13 15:30:13 as along with 7 people and 3 groups ri3 tyfn esayre angie_p paulvb mcleavitt bigenhoc E19.2174 Cognitive Science and Educational Technology NYU ETEC533 LearningTechnologies
	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
	Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks⋆ [My Copy] Neural Networks, Vol. 16, No. 5-6. (July 2003), pp. 683-689. by L. Feldkamp posted to kalman-filter learning-algorithm rnn by tkf on 2009-05-08 14:47:08 as
	How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies [My Copy] Neural Networks, Vol. 11, No. 5. (July 1998), pp. 861-868. by T. Lin posted to long-term-dependencies rnn by tkf on 2009-05-08 14:46:33 as
	On the emergence of rules in neural networks. [My Copy] Neural computation, Vol. 14, No. 9. (September 2002), pp. 2245-2268. by S. J. Hanson, M. Negishi posted to ann fsm fsm-extraction by tkf on 2009-05-08 14:39:53 as
	Adaptation from fixed weight dynamic networks [My Copy] Neural Networks, 1996., IEEE International Conference on In Neural Networks, 1996., IEEE International Conference on, Vol. 1 (1996), pp. 155-160 vol.1. by L. A. Feldkamp, G. V. Puskorius, P. C. Moore posted to ann fixed-weight-nn learning-algorithm by tkf on 2009-05-08 12:36:50 as
	Fixed-weight on-line learning. [My Copy] IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council, Vol. 10, No. 2. (1999), pp. 272-283. by A. S. Younger, P. R. Conwell, N. E. Cotter posted to ann fixed-weight-nn learning-algorithm online-learning by tkf on 2009-05-08 12:32:49 as
	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
	Language as a dynamical system [My Copy] In In (1995), pp. 195-225. by Jeffrey L. Elman posted to connectionism language learning rnn by tkf on 2009-05-06 04:54:26 as along with 2 people almadana bcroy
	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 10 people and 2 groups bayesian rsantana paulclinger jotwin chchatham sinverso fbaroni robotact balicea sylvain_chevallier 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 14 people and 1 group flips rnaylor robertlischke davidcsterratt iPlant ackman bayesian yama_tah fbaroni j-ito apeyrache mbregman lenov mattions 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

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