New Book: Theoretical Aspects of Neural Computation

[PHKYWONG@usthk.ust.hk]

Announcing a new book by Springer (order information attached):

		Theoretical Aspects of Neural Computation
		-----------------------------------------

		      A Multidisciplinary Perspective

	[Proceedings of Hong Kong International Workshop(TANC'97)]

	Kwok-Yee Michael Wong, Irwin King and Dit-Yan Yeung (Eds.)


Over the past decade or so, neural computation has emerged as a research area 
with active involvement by researchers from a number of different disciplines, 
including computer science, engineering, mathematics, neurobiology, physics, 
and statistics. The Hong Kong International Workshop, TANC'97, brought 
together researchers with a diverse background to review the current status 
of neural computation research. Three aspects of neural computation have 
been emphasized: neuroscience aspects, computational and mathematical aspects, 
and statistical physics aspects. This book contains 29 contributions from 
frontier researchers in these fields. Thoroughly re-edited, and in some cases 
revised post-workshop, these papers collated into this review volume provide 
a top-class reference summary of the state-of-the-art work done in this field.


Table of Contents
=================

The Natural Gradient Learning Algorithm for Neural Networks
  Shun-ichi Amari

Regression with Gaussian Processes: Average Case Performance
  Manfred Opper

Bayesian Ying-Yang System and Theory as A Unified Statistical Learning
Approach (II):  From Unsupervised Learning to Supervised Learning and
Temporal Modeling
  Lei Xu

Bayesian Ying-Yang System and Theory as A Unified Statistical Learning
Approach: (III) Models and Algorithms for Dependence Reduction, Data
Dimension Reduction, ICA and Supervised Learning
  Lei Xu

Optimal Bayesian Online Learning
  Ole Winther and Sara A. Solla

Several Aspects of Pruning Methods in Recursive Least Square Algorithms
for Neural Networks
  Chi-Sing Leung, Pui-Fai Sum, Ah-Chung Tsoi, and Lai-Wan Chan

Experts or an Ensemble? A Statistical Mechanics Perspective of Multiple
Neural Network Approaches
  Jong-Hoon Oh and Kukjin Kang

Mean Field Theory of Learning in Pruned Perceptrons
  K. Y. Michael Wong

Solving Inverse Problems by Bayesian Iterative Inversion of Neural Networks
  Jenq-Neng Hwang

Stochastic Orientation of the Generating Distribution in Very Fast Simu-
lated Reannealing
  Bruce E. Rosen

Graph Partitioning Using Homotopy Based Fast Annealed Neural Networks
  Jian-Jun Xue yand Xiao-Hu Yuz

Modelling Synfire Processing
  John Hertz

Ideal Observers of Visual Object Recognition
  Zili Liu

Primary Cortical Dynamics for Visual Grouping
  Zhaoping Li

Architecture of Cortex Revealed by Divided Attention Experiments
  Ching Elizabeth Ho

Information Merging in Neural Modelling 
  Massimo Battisti*, Pietro Burrascano* and Dario Pirollo

Signal Recognition Based on Wavelet and Wavelet Neural Network
  Yao-Jun Wu   Xi-Zhi Shi   Ming Xu

Chaos Theory in EEG Analysis
  Hongkui Jing and Shijun Chen

A Neurocomputational Model of Figure-Ground Discrimination by Rela-
tive Motion
  Aike Guo, Haijian Sun, and Lin Liu

Feature Selectivity in a Cortical Module with Short-Range Excitation
  David Hansely and Haim Sompolinskyz

A Psychophysical Experiment to Test the Efficient Stereo Coding Theory
  Danmei Chen and Zhaoping Li

An Exact Solution for On-Line Learning of Smooth Functions
  Sara A. Solla

Unsupervised Learning by Examples: On-line Versus Off-line
  C. Van den Broeck

A Simple Perceptron that Learns Non-Monotonic Rules
  Jun-ichi Inoue, Hidetoshi Nishimori and Yoshiyuki Kabashima

The Stability of Asymmetric Hopfield Networks With Nonnegative Weights 267
  Jinwen Ma

Fully Connected Q-Ising Neural Networks: A General Scheme for Dis-
cussing Parallel Dynamics
  D. Boll'e, G. Jongen and G. M. Shim

Recurrent Sampling Models
  Peter Dayan

Low-Complexity Coding and Decoding
  Sepp Hochreiter and J"urgen Schmidhuber

Pattern Analysis and Synthesis in Attractor Neural Networks
  H. Sebastian Seung

Author Index

Subject Index

============================================================================

ORDERING INFORMATION:

ISBN 981-3083-70-0
Book price: US$49.00 (excluding postage charges)

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http://www.springer.com.sg 
under Books on Computer Science.

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	(email: orders at cyberway.com.sg; tel: (65) 84 20 112)

or

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