NEURAL COMPUTATION 2:2

[Terry Sejnowski]

NEURAL COMPUTATION
Table of Contents -- Volume 2:2

Visual Perception of Three-Dimensional Motion
	David J. Heeger and Allan Jepson

Distributed Symbolic Representation of Visual Shape
	Eric Saund

Modeling Orientation Discrimination at Multiple Reference Orientations 
with a Neural Network
	M. Devos and G. A. Orban

Temporal Differentiation and Violation of Time-Reversal Invariance in 
Neurocomputation of Visual Information
	D. S. Tang and V. Menon

Analysis of Linsker's Simulations of Hebbian Rules
	David J. C. MacKay and Kenneth D. Miller

Applying Temporal Difference Methods to Fully Recurrent
Reinforcement Learning Networks
	Jurgen Schmidhuber

Generalizing Smoothness Constraints from Discrete Samples
	Chuanyi Ji, Robert R. Snapp, and Demetri Psaltis

The Upstart Algorithm:  A Method for Constructing and Training 
Feedforward Neural Networks
	Marcus Frean

Layered Neural Networks with Gaussian Hidden Units As Universal 
Approximations
	Eric Hartman, James D. Keeler, and Jacek M. Kowalski

A Neural Network for Nonlinear Bayesian Estimation in Drug
Therapy
	Reza Shadmehr and David D'Argenio

Analysis of Neural Networks with Redundancy
	Yoshio Izui and Alex Pentland

Stability of the Random Neural Network Model
	Erol Gelenbe

The Perceptron Algorithm Is Fast for Nonmaliciouis Distribution
	Eric B. Baum


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