Connectionists: NEURAL COMPUTATION 17:9

[Terry Sejnowski]

Neural Computation - Contents - Volume 17, Number 9 - September 1, 2005

REVIEW

The Cocktail Party Problem
Simon Haykin and Zhe Chen

NOTES

Edgeworth Approximation of Multivariate Differential Entropy
Marc M. Van Hulle

Perfect Fault Tolerance of the /n-k-n/ Network
Elko B. Tchernev, Rory G. Mulvaney and Dhananjay S. Phatak

On the Slow Convergence of EM and VBEM in Low-Noise Linear Models
Kaare Brandt Petersen, Ole Winther and Lars Kai Hansen

LETTERS

Analyzing Functional Connectivity Using a Network Likelihood Model of
Ensemble Neural Spiking Activity
Murat Okatan, Matthew A. Wilson, and Emery N. Brown

Data-Robust Tight Lower Bounds to the Information Carried by Spike Times
of a Neuronal Population
G. Pola, R. S. Petersen, A. Thiele, M. P. Young and S. Panzeri

Fluctuation-Disspation Theorem and Models of Learning
Ilya Nemenman

Correlated Firing in a Feedforward Network with Mexican-Hat-Type
Connectivity
Kosuke Hamaguchi, Masato Okada, Michiko Yamana, and Kazuyuki Aihara

Supervised Learning in a Recurrent Network of Rate-Model Neurons
Exhibiting Frequency Adaptation
Pierre A. Fortier, Emmanuel Guigon and Yves Burnod

Learning Bounds for Kernel Regression Using Effective Data Dimensionality
Tong Zhang

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