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Volume 24, Issue 8

August 2012

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ISSN 0899-7667

EISSN 1530-888X

In this Issue

Article
Letters

Article

An Efficient Learning Procedure for Deep Boltzmann Machines

Ruslan Salakhutdinov, Geoffrey Hinton

Neural Computation (2012) 24 (8): 1967–2006.

Abstract

View articletitled, An Efficient Learning Procedure for Deep Boltzmann Machines

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Letters

A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons

Ryan C. Kelly, Robert E. Kass

Neural Computation (2012) 24 (8): 2007–2032.

Abstract

View articletitled, A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons

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Competition Through Selective Inhibitory Synchrony

Ueli Rutishauser, Jean-Jacques Slotine, Rodney J. Douglas

Neural Computation (2012) 24 (8): 2033–2052.

Abstract

View articletitled, Competition Through Selective Inhibitory Synchrony

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Information Recall Using Relative Spike Timing in a Spiking Neural Network

Philip Sterne

Neural Computation (2012) 24 (8): 2053–2077.

Abstract

View articletitled, Information Recall Using Relative Spike Timing in a Spiking Neural Network

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Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior

Eli Shlizerman, Philip Holmes

Neural Computation (2012) 24 (8): 2078–2118.

Abstract

View articletitled, Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior

Supplementary data

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Multinomial Bayesian Learning for Modeling Classical and Nonclassical Receptive Field Properties

Haruo Hosoya

Neural Computation (2012) 24 (8): 2119–2150.

Abstract

View articletitled, Multinomial Bayesian Learning for Modeling Classical and Nonclassical Receptive Field Properties

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Learning Where to Attend with Deep Architectures for Image Tracking

Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas

Neural Computation (2012) 24 (8): 2151–2184.

Abstract

View articletitled, Learning Where to Attend with Deep Architectures for Image Tracking

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Chaotic Exploration and Learning of Locomotion Behaviors

Yoonsik Shim, Phil Husbands

Neural Computation (2012) 24 (8): 2185–2222.

Abstract

View articletitled, Chaotic Exploration and Learning of Locomotion Behaviors

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Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences

Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe

Neural Computation (2012) 24 (8): 2223–2250.

Abstract

View articletitled, Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences

Article

An Efficient Learning Procedure for Deep Boltzmann Machines

Letters

A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons

Competition Through Selective Inhibitory Synchrony

Information Recall Using Relative Spike Timing in a Spiking Neural Network

Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior

Multinomial Bayesian Learning for Modeling Classical and Nonclassical Receptive Field Properties

Learning Where to Attend with Deep Architectures for Image Tracking

Chaotic Exploration and Learning of Locomotion Behaviors

Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences

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