# Haim Sompolinsky

According to our database

Collaborative distances:

^{1}, Haim Sompolinsky authored at least 33 papers between 1991 and 2020.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

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## Bibliography

2020

Predicting the outputs of finite networks trained with noisy gradients.

CoRR, 2020

2018

Learning Data Manifolds with a Cutting Plane Method.

Neural Computation, 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 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