Error-backpropagation in temporally encoded networks of spiking neurons

[1]  Barry J. Richmond,et al.  Information flow and temporal coding in primate pattern vision , 1995, Journal of Computational Neuroscience.

[2]  Jan J. Koenderink,et al.  Information in channel-coded systems: correlated receivers , 1992, Biological Cybernetics.

[3]  W. Heiligenberg,et al.  How sensory maps could enhance resolution through ordered arrangements of broadly tuned receivers , 2004, Biological Cybernetics.

[4]  Ch. von der Malsburg,et al.  A neural cocktail-party processor , 1986, Biological Cybernetics.

[5]  Wolfgang Maass,et al.  Paradigms for Computing with Spiking Neurons , 2002 .

[6]  Paolo Del Giudice,et al.  Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses , 2000, Neural Computation.

[7]  Christian W. Eurich,et al.  Multidimensional Encoding Strategy of Spiking Neurons , 2000, Neural Computation.

[8]  Ad Aertsen,et al.  Stable propagation of synchronous spiking in cortical neural networks , 1999, Nature.

[9]  G. Laurent.  A systems perspective on early olfactory coding. , 1999, Science.

[10]  G. Bi,et al.  Distributed synaptic modification in neural networks induced by patterned stimulation , 1999, Nature.

[11]  Jacques Gautrais,et al.  SpikeNET: A simulator for modeling large networks of integrate and fire neurons , 1999, Neurocomputing.

[12]  Dean V. Buonomano,et al.  A Neural Network Model of Temporal Code Generation and Position-Invariant Pattern Recognition , 1999, Neural Computation.

[13]  Terrence J. Sejnowski,et al.  Neuronal Tuning: To Sharpen or Broaden? , 1999, Neural Computation.

[14]  Christopher J. Bishop,et al.  Pulsed Neural Networks , 1998 .

[15]  G Deco,et al.  The coding of information by spiking neurons: an analytical study. , 1998, Network.

[16]  T Natschläger,et al.  Spatial and temporal pattern analysis via spiking neurons. , 1998, Network.

[17]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[18]  W. Newsome,et al.  The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.

[19]  T. Albright,et al.  Efficient Discrimination of Temporal Patterns by Motion-Sensitive Neurons in Primate Visual Cortex , 1998, Neuron.

[20]  Michael Schmitt,et al.  Self-organization of spiking neurons using action potential timing , 1998, IEEE Trans. Neural Networks.

[21]  B L McNaughton,et al.  Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. , 1998, Journal of neurophysiology.

[22]  Wolfgang Maass,et al.  Spiking Neurons , 1998, NC.

[23]  Wolfgang Maass,et al.  Fast Sigmoidal Networks via Spiking Neurons , 1997, Neural Computation.

[24]  Wolfgang Maass,et al.  Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons , 1996, NIPS.

[25]  Jacques Gautrais,et al.  Rapid Visual Processing using Spike Asynchrony , 1996, NIPS.

[26]  R. Reid,et al.  Precisely correlated firing in cells of the lateral geniculate nucleus , 1996, Nature.

[27]  Wulfram Gerstner,et al.  A neuronal learning rule for sub-millisecond temporal coding , 1996, Nature.

[28]  Denis Fize,et al.  Speed of processing in the human visual system , 1996, Nature.

[29]  Herman P. Snippe,et al.  Parameter Extraction from Population Codes: A Critical Assessment , 1996, Neural Computation.

[30]  Wolfgang Maass,et al.  Lower Bounds for the Computational Power of Networks of Spiking Neurons , 1996, Neural Computation.

[31]  D. Signorini,et al.  Neural networks , 1995, The Lancet.

[32]  William R. Softky,et al.  Simple codes versus efficient codes , 1995, Current Opinion in Neurobiology.

[33]  Asim Roy,et al.  An algorithm to generate radial basis function (RBF)-like nets for classification problems , 1995, Neural Networks.

[34]  W. Gerstner,et al.  Time structure of the activity in neural network models. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[35]  Yoshua Bengio,et al.  Pattern Recognition and Neural Networks , 1995 .

[36]  David J. Spiegelhalter,et al.  Machine Learning, Neural and Statistical Classification , 2009 .

[37]  Michael N. Shadlen,et al.  Noise, neural codes and cortical organization , 1994, Current Opinion in Neurobiology.

[38]  G. Kane.  Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .

[39]  E. Vaadia,et al.  Spatiotemporal firing patterns in the frontal cortex of behaving monkeys. , 1993, Journal of neurophysiology.

[40]  N. Suga,et al.  Delay lines and amplitude selectivity are created in subthalamic auditory nuclei: the brachium of the inferior colliculus of the mustached bat. , 1993, Journal of neurophysiology.

[41]  C. Gielen.  Introduction to neural & cognitive modeling , 1993 .

[42]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[43]  W. Singer,et al.  Temporal coding in the visual cortex: new vistas on integration in the nervous system , 1992, Trends in Neurosciences.

[44]  Walter Heiligenberg,et al.  Neural Nets in Electric Fish , 1991 .

[45]  M. Konishi,et al.  A circuit for detection of interaural time differences in the brain stem of the barn owl , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[46]  Michael I. Jordan,et al.  Advances in Neural Information Processing Systems 30 , 1995 .

[47]  William Bialek,et al.  Reading a Neural Code , 1991, NIPS.

[48]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[49]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[50]  J. Proudfoot,et al.  Noise , 1931, The Indian medical gazette.

[51]  N. Wittenburg,et al.  Transformation from temporal to rate coding in a somatosensory thalamocortical pathway , 2022 .