Connectionists: NEURAL COMPUTATION - October, 2010

[Terry Sejnowski]

Neural Computation - Contents - Volume 22, Number 10 - October 1, 2010

ARTICLE

Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete
Time Statistical Models of Neural Spiking
Robert Haslinger, Gordon Pipa, and Emery Brown

LETTERS

Convergence and Stability of Quantized Hopfield Networks Operating in a Fully Parallel Mode
Daniel Calabuig, Jose F. Monserrat, and Nar?is Cardona

Probability of Repeating Patterns in Simultaneous Neural Data
Anne C. Smith, Vinh Kha Nguyen, Mattias P Karlsson, Loren M Frank, and Peter Smith

Recording from Two Neurons: Second-Order Stimulus Reconstruction from Spike Trains and
Population Coding
N. M. Fernandes, B. D. L. Pinto, L. O. B. Almeida, J. F. W. Slaets, and R. Köle

On a Stochastic Leaky Integrate-and-Fire Neuronal Model
A. Buonocore, L. Caputo, E. Pirozzi, and L.M. Ricciardi

Neuronal Population Decoding Explains the Change in Signal Detection
Sensitivity Caused by Task-Irrelevant Perceptual Bias
Satohiro Tajima, Hiromasa Takemura, Ikuya Murakami, and Masato Okada

Spiking Neural P Systems with Weights
Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan,
Gheorghe Paun and Mario J. Perez-Jimenez

A New Bidimensional Neural Field Model with Heterogeneous Connection Topology
Mouhamad Jradeh

Convergence Analysis of Three Classes of Split-Complex
Gradient Algorithms for Complex-Valued Recurrent Neural Networks
Dongpo Xu, Huisheng Zhang, and Lijun Liu

Large-Margin Classification in Infinite Neural Networks
Youngmin Cho, and Lawrence K. Saul

The MEE Principle in Data Classification: A Perceptron-Based Analysis
Luis M. Silva, J. Marques de Sa and Luis A. Alexandre

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