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Volume 20, Issue 10

October 2008

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ISSN 0899-7667

EISSN 1530-888X

In this Issue

Article
Letters

Article

Neural Integrator: A Sandpile Model

Maxim Nikitchenko, Alexei Koulakov

Neural Computation (2008) 20 (10): 2379–2417.

Abstract

View articletitled, Neural Integrator: A Sandpile Model

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Letters

Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features

Germán Mato, Inés Samengo

Neural Computation (2008) 20 (10): 2418–2440.

Abstract

View articletitled, Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features

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Rapid Convergence to Feature Layer Correspondences

Jörg Lücke, Christian Keck, Christoph von der Malsburg

Neural Computation (2008) 20 (10): 2441–2463.

Abstract

View articletitled, Rapid Convergence to Feature Layer Correspondences

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Normalization Enables Robust Validation of Disparity Estimates from Neural Populations

Eric K. C. Tsang, Bertram E. Shi

Neural Computation (2008) 20 (10): 2464–2490.

Abstract

View articletitled, Normalization Enables Robust Validation of Disparity Estimates from Neural Populations

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Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia

Garipelli Gangadhar, Denny Joseph, V. Srinivasa Chakravarthy

Neural Computation (2008) 20 (10): 2491–2525.

Abstract

View articletitled, Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia

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Sparse Coding via Thresholding and Local Competition in Neural Circuits

Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen

Neural Computation (2008) 20 (10): 2526–2563.

Abstract

View articletitled, Sparse Coding via Thresholding and Local Competition in Neural Circuits

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Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof

Ivan Y. Tyukin, Danil Prokhorov, Cees van Leeuwen

Neural Computation (2008) 20 (10): 2564–2596.

Abstract

View articletitled, Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof

Article

Neural Integrator: A Sandpile Model

Letters

Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features

Rapid Convergence to Feature Layer Correspondences

Normalization Enables Robust Validation of Disparity Estimates from Neural Populations

Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia

Sparse Coding via Thresholding and Local Competition in Neural Circuits

Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof

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Issues

Cover Image

Article

Neural Integrator: A Sandpile Model

Letters

Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features

Rapid Convergence to Feature Layer Correspondences

Normalization Enables Robust Validation of Disparity Estimates from Neural Populations

Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia

Sparse Coding via Thresholding and Local Competition in Neural Circuits

Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof

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