Neural Modeling and Neural Networks

✍ Scribed by F. Ventriglia (Eds.)

• Publisher: Elsevier Science Pub Co
• Year: 1994
• Tongue: English
• Leaves: 351
• Edition: 1
• Category: Library

✦ Synopsis

Research in neural networks has escalated dramatically in the last decade, acquiring along the way terms and concepts, such as learning, memory, perception, recognition, which are the basis of neuropsychology. Nevertheless, for many, neural modelling remains controversial in its purported ability to describe brain activity. This is complicated by our incomplete knowledge of neural activity. The difficulties in ''modeling'' are various, but arise principally in identifying those elements that are fundamental for the expression (and description) of superior neural activity. This is complicated by our incomplete knowledge of neural structures and functions, at the cellular and population levels. The first step towards enhanced appreciation of the value of neural modeling ahd neural networks is to be aware of what has been achieved in this multidisciplinary field of research. This book sets out to create such awareness. Leading expelis develop in twelve chapters the key topics of neural structures and functions, dynamics of single neurons, oscillations in groups of neurons, randomness and chaos in neural activity, (statistical) dynamics of neural networks, learning, memory and pattern recognition

✦ Table of Contents

Content:
Pergamon studies in neuroscience No 11, Page ifcii
Front Matter, Page i
Copyright, Page ii
Preface, Page iii, Francesco Ventriglia, Arco Felice
List of Contributors, Pages vii-viii
1 - Anatomical Bases of Neural Network Modeling, Pages 1-21, JANOS SZENTÁGOTHAI
2 - Models of Visuomotor Coordination in Frog and Monkey, Pages 23-40, MICHAEL A. ARBIB
3 - Analysis of Single-Unit Activity in the Cerebral Cortex, Pages 41-56, MOSHE ABELES
4 - Single Neuron Dynamics: an Introduction, Pages 57-78, LARRY F. ABBOTT
5 - An Introduction to Neural Oscillators, Pages 79-110, BARD ERMENTROUT
6 - Mechanisms Responsible for Epilepsy in Hippocampal Slices Predispose the Brain to Collective Oscillations, Pages 111-127, ROGER D. TRAUB, JOHN G.R. JEFFERYS
7 - Diffusion Models of Single Neurones' Activity, Pages 129-162, LUIGI M. RICCIARDI
8 - Noise and Chaos in Neural Systems, Pages 163-184, PETER ÉRDI
9 - Qualitative Overview of Population Neurodynamics, Pages 185-215, WALTER J. FREEMAN
10 - Towards a Kinetic Theory of Cortical-like Neural Fields, Pages 217-249, FRANCESCO VENTRIGLIA
11 - Psychology, Neurobiology and Modeling: The Science of Hebbian Reverberations, Pages 251-281, DANIEL J. AMIT
12 - Pattern Recognition with Neural Networks, Pages 283-308, KUNIHIKO FUKUSHIMA
Bibliography, Pages 309-343
Subject Index, Pages 345-351