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Volume 19, Issue 4

April 2007

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ISSN 0899-7667

EISSN 1530-888X

In this Issue

Article
Letters

Article

Synergies Between Intrinsic and Synaptic Plasticity Mechanisms

Jochen Triesch

Neural Computation (2007) 19 (4): 885–909.

Abstract

View articletitled, Synergies Between Intrinsic and Synaptic Plasticity Mechanisms

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Letters

Distinguishing Causal Interactions in Neural Populations

Anil K. Seth, Gerald M. Edelman

Neural Computation (2007) 19 (4): 910–933.

Abstract

View articletitled, Distinguishing Causal Interactions in Neural Populations

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Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG

Mads Dyrholm, Scott Makeig, Lars Kai Hansen

Neural Computation (2007) 19 (4): 934–955.

Abstract

View articletitled, Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG

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Information and Topology in Attractor Neural Networks

D. Dominguez, K. Koroutchev, E. Serrano, F. B. Rodríguez

Neural Computation (2007) 19 (4): 956–973.

Abstract

View articletitled, Information and Topology in Attractor Neural Networks

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Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information

Gregory R. Stiesberg, Marcelo Bussotti Reyes, Pablo Varona, Reynaldo D. Pinto, Ramón Huerta

Neural Computation (2007) 19 (4): 974–993.

Abstract

View articletitled, Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information

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Independent Slow Feature Analysis and Nonlinear Blind Source Separation

Tobias Blaschke, Tiziano Zito, Laurenz Wiskott

Neural Computation (2007) 19 (4): 994–1021.

Abstract

View articletitled, Independent Slow Feature Analysis and Nonlinear Blind Source Separation

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A Maximum-Likelihood Interpretation for Slow Feature Analysis

Richard Turner, Maneesh Sahani

Neural Computation (2007) 19 (4): 1022–1038.

Abstract

View articletitled, A Maximum-Likelihood Interpretation for Slow Feature Analysis

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An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks

Su Lee Goh, Danilo P. Mandic

Neural Computation (2007) 19 (4): 1039–1055.

Abstract

View articletitled, An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks

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Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks

Peter Tiňo

Neural Computation (2007) 19 (4): 1056–1081.

Abstract

View articletitled, Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks

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Recursive Finite Newton Algorithm for Support Vector Regression in the Primal

Liefeng Bo, Ling Wang, Licheng Jiao

Neural Computation (2007) 19 (4): 1082–1096.

Abstract

View articletitled, Recursive Finite Newton Algorithm for Support Vector Regression in the Primal

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State-Space Models: From the EM Algorithm to a Gradient Approach

Rasmus Kongsgaard Olsson, Kaare Brandt Petersen, Tue Lehn-Schiøler

Neural Computation (2007) 19 (4): 1097–1111.

Abstract

View articletitled, State-Space Models: From the EM Algorithm to a Gradient Approach

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Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance

Shinichi Nakajima, Sumio Watanabe

Neural Computation (2007) 19 (4): 1112–1153.

Abstract

View articletitled, Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance

Article

Synergies Between Intrinsic and Synaptic Plasticity Mechanisms

Letters

Distinguishing Causal Interactions in Neural Populations

Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG

Information and Topology in Attractor Neural Networks

Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information

Independent Slow Feature Analysis and Nonlinear Blind Source Separation

A Maximum-Likelihood Interpretation for Slow Feature Analysis

An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks

Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks

Recursive Finite Newton Algorithm for Support Vector Regression in the Primal

State-Space Models: From the EM Algorithm to a Gradient Approach

Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance

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