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Volume 19, Issue 10

October 2007

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ISSN 0899-7667

EISSN 1530-888X

In this Issue

Article
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Letters

Article

Synaptic Dynamics in Analog VLSI

Chiara Bartolozzi, Giacomo Indiveri

Neural Computation (2007) 19 (10): 2581–2603.

Abstract

View articletitled, Synaptic Dynamics in Analog VLSI

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Note

Exact Simulation of Integrate-and-Fire Models with Exponential Currents

Romain Brette

Neural Computation (2007) 19 (10): 2604–2609.

Abstract

View articletitled, Exact Simulation of Integrate-and-Fire Models with Exponential Currents

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Letters

The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent?

Alicia B. Abrams, James M. Hillis, David H. Brainard

Neural Computation (2007) 19 (10): 2610–2637.

Abstract

View articletitled, The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent?

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Deviation from Weber's Law in the Non-Pacinian I Tactile Channel: A Psychophysical and Simulation Study of Intensity Discrimination

Burak Güçlü

Neural Computation (2007) 19 (10): 2638–2664.

Abstract

View articletitled, Deviation from Weber's Law in the Non-Pacinian I Tactile Channel: A Psychophysical and Simulation Study of Intensity Discrimination

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Learning the Lie Groups of Visual Invariance

Xu Miao, Rajesh P. N. Rao

Neural Computation (2007) 19 (10): 2665–2693.

Abstract

View articletitled, Learning the Lie Groups of Visual Invariance

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Learning with “Relevance”: Using a Third Factor to Stabilize Hebbian Learning

Bernd Porr, Florentin Wörgötter

Neural Computation (2007) 19 (10): 2694–2719.

Abstract

View articletitled, Learning with “Relevance”: Using a Third Factor to Stabilize Hebbian Learning

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Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity

Takaaki Aoki, Toshio Aoyagi

Neural Computation (2007) 19 (10): 2720–2738.

Abstract

View articletitled, Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity

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Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks

J. J. Torres, J. M. Cortes, J. Marro, H. J. Kappen

Neural Computation (2007) 19 (10): 2739–2755.

Abstract

View articletitled, Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks

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Projected Gradient Methods for Nonnegative Matrix Factorization

Chih-Jen Lin

Neural Computation (2007) 19 (10): 2756–2779.

Abstract

View articletitled, Projected Gradient Methods for Nonnegative Matrix Factorization

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Integration of Stochastic Models by Minimizing α-Divergence

Shun-ichi Amari

Neural Computation (2007) 19 (10): 2780–2796.

Abstract

View articletitled, Integration of Stochastic Models by Minimizing <em>α</em>-Divergence

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Distortion of Neural Signals by Spike Coding

David H. Goldberg, Andreas G. Andreou

Neural Computation (2007) 19 (10): 2797–2839.

Abstract

View articletitled, Distortion of Neural Signals by Spike Coding

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Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks

Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera ...

Neural Computation (2007) 19 (10): 2840–2864.

Abstract

View articletitled, Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks

Article

Synaptic Dynamics in Analog VLSI

Note

Exact Simulation of Integrate-and-Fire Models with Exponential Currents

Letters

The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent?

Deviation from Weber's Law in the Non-Pacinian I Tactile Channel: A Psychophysical and Simulation Study of Intensity Discrimination

Learning the Lie Groups of Visual Invariance

Learning with “Relevance”: Using a Third Factor to Stabilize Hebbian Learning

Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity

Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks

Projected Gradient Methods for Nonnegative Matrix Factorization

Integration of Stochastic Models by Minimizing α-Divergence

Distortion of Neural Signals by Spike Coding

Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks

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