Neural Computation 7:2

[Terry Sejnowski]

NEURAL COMPUTATION
Volume 7, Number 2, March 1995

Review:

Regularization theory and neural networks architectures
Federico Girosi, Michael Jones and Tomaso Poggio

Notes:

A counterexample for temporal differences learning
Dimitri P. Bertsekas

New perceptron model using random bitstreams
Eel-wan Lee and Soo-Ik Chae

On the ordering conditions for self-organising maps
Marco Budinich and John G. Taylor

Letters:

A simple competitive account of some response properties of visual
neurons in area MSTd
Ruye Wang

Synchrony in excitatory neural networks
D. Hansel, G. Mato and C. Meunier

Decorrelated Hebbian learning for clustering and function approximation
Gustavo Deco and Dragan Obradovic

Identification using feedforward networks
Asriel U. Levin and Kumpati S. Narendra

An HMM/MLP architecture for sequence recognition
Sung-Bae Cho and Jin H. Kim

Learning linear threshold approximations using perceptrons
Thomas  Bylander

An algorithm for building a regularized piecewise linear discrimination
surface:  The perceptron membrane
Guillaume Deffuant

The upward bias in measures of information derived from limited data samples
Alessandro Treves and Stefano Panzeri

Representation of similarity in three-dimensional object discrimination
Shimon Edelman

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