Haim Sompolinsky

According to our database1, Haim Sompolinsky authored at least 29 papers between 1991 and 2018.

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Bibliography

2018
Learning Data Manifolds with a Cutting Plane Method.
Neural Computation, 2018

2017
Markov Transitions between Attractor States in a Recurrent Neural Network.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Optimal Architectures in a Solvable Model of Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Evidence of Change of Intention in Picking Situations.
J. Cognitive Neuroscience, 2015

2014
Tempotron Learning.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2012
How the Brain Generates Movement.
Neural Computation, 2012

2011
Introducing the Human Brain Project.
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

2010
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Short-term memory in neuronal networks through dynamical compressed sensing.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Stimulus-Dependent Correlations in Threshold-Crossing Spiking Neurons.
Neural Computation, 2009

2006
Implications of Neuronal Diversity on Population Coding.
Neural Computation, 2006

2004
Nonlinear Population Codes.
Neural Computation, 2004

2003
Rate Models for Conductance-Based Cortical Neuronal Networks.
Neural Computation, 2003

2001
Correlation Codes in Neuronal Populations.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
An Information Maximization Approach to Overcomplete and Recurrent Representations.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Algorithms for Independent Components Analysis and Higher Order Statistics.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Chaotic Balanced State in a Model Of Cortical Circuits.
Neural Computation, 1998

The Effect of Correlations on the Fisher Information of Population Codes.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Learning a Continuous Hidden Variable Model for Binary Data.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Traveling Waves and the Processing of Weakly Tuned Inputs in a Cortical Network Module.
Journal of Computational Neuroscience, 1997

1996
Neural network models of perceptual learning of angle discrimination.
Neural Computation, 1996

Chaos and synchrony in a model of a hypercolumn in visual cortex.
Journal of Computational Neuroscience, 1996

1994
Segmentation by a Network of Oscillators with Stored Memories.
Neural Computation, 1994

On-line Learning of Dichotomies.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Stimulus-Dependent Synchronization of Neuronal Assemblies.
Neural Computation, 1993

Correlation Functions in a Large Stochastic Network.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Processing of Sensory Information by a Network of Oscillators with Memory.
Int. J. Neural Syst., 1992

Query by Committee.
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1991
Learning Curves in Large Neural Networks.
Proceedings of the Fourth Annual Workshop on Computational Learning Theory, 1991


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