Haim Sompolinsky

According to our database1, Haim Sompolinsky authored at least 38 papers between 1991 and 2020.

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Bibliography

2020
High-dimensional dynamics of generalization error in neural networks.
Neural Networks, 2020

Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Renormalization Group.
CoRR, 2020

A new role for circuit expansion for learning in neural networks.
CoRR, 2020

Predicting the outputs of finite networks trained with noisy gradients.
CoRR, 2020

2019
Functional diversity among sensory neurons from efficient coding principles.
PLoS Comput. Biol., 2019

2018
Coherent chaos in a recurrent neural network with structured connectivity.
PLoS Comput. Biol., 2018

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

2017
Classification and Geometry of General Perceptual Manifolds.
CoRR, 2017

Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity.
CoRR, 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. Cogn. Neurosci., 2015

Classification of Manifolds by Single-Layer Neural Networks.
CoRR, 2015

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

2012
How the Brain Generates Movement.
Neural Comput., 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 Comput., 2009

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

2004
Nonlinear Population Codes.
Neural Comput., 2004

2003
Rate Models for Conductance-Based Cortical Neuronal Networks.
Neural Comput., 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 Comput., 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.
J. Comput. Neurosci., 1997

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

Chaos and synchrony in a model of a hypercolumn in visual cortex.
J. Comput. Neurosci., 1996

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