Dynamic Interactions in Neural Networks: Models and Data / Edition 1

by Michael A. Arbib, Shun-ichi Amari

Overview

This is an exciting time. The study of neural networks is enjoying a great renaissance, both in computational neuroscience - the development of information processing models of living brains - and in neural computing - the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume, Dynamic Interactions in Neural Networks: Models and Data can be given two interpretations. We present models and data on the dynamic interactions occurring in the brain, and we also exhibit the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles that may guide us in the understanding of our own brains and in the design of artificial neural networks. In fact, the book title has yet a third interpretation. It is based on the U. S. -Japan Seminar on "Competition and Cooperation in Neural Nets" which we organized at the University of Southern California, Los Angeles, May 18-22, 1987, and is thus the record of interaction of scientists on both sides of the Pacific in advancing the frontiers of this dynamic, re-born field. The book focuses on three major aspects of neural network function: learning, perception, and action. More specifically, the chapters are grouped under three headings: "Development and Learning in Adaptive Networks," "Visual Function", and "Motor Control and the Cerebellum.

Product Details

ISBN-13:	9780387968933
Publisher:	Springer New York
Publication date:	12/01/1988
Series:	Research Notes in Neural Computing , #1
Edition description:	1989
Pages:	280
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Dynamic Interactions in Neural Networks: An Introductory Perspective.- I. Development and Learning in Adaptive Networks.- Dynamical Stability of Formation of Cortical Maps.- Visual Plasticity in the Auditory Pathway: Visual Inputs Induced into Auditory Thalamus and Cortex Illustrate Principles of Adaptive Organization in Sensory Systems.- The Hippocampus and the Control of Information Storage in the Brain.- A Memory with Cognitive Ability.- Feature Handling in Learning Algorithms.- Self-Organizing Neural Networks with the Mechanism of Feedback Information Processing.- II. Visual Function.- Interacting Subsystems for Depth Perception and Detour Behavior.- Role of Basal Ganglia in Initiation of Voluntary Movements.- Neural Mechanisms of Attention in Extrastriate Cortex of Monkeys.- Neuronal Representation of Pictorial Working Memory in the Primate Temporal Cortex.- III. Motor Control and the Cerebellum.- Hierarchical Learning of Voluntary Movement by Cerebellum and Sensory Association Cortex.- A Model for Oblique Saccade Generation and Adaptation.- Cerebellar Mechanisms in the Adaptation of Vestibuloocular Reflex.- A Kalman Filter Theory of the Cerebellum.- Conditioning and the Cerebellum.

Editorial Reviews

First volume in the series presents papers offered at the US Japan seminar held in Los Angeles, May 1987. Focus is on three major aspects of neural network function--learning, perception, and action. Papers address development and learning in adaptive networks, visual function, and motor control and the cerebellum. No index. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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