Dynamic Interactions in Neural Networks: Models and Data

Dynamic Interactions in Neural Networks: Models and Data

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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 qintelligentq 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 qCompetition and Cooperation in Neural Netsq 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: qDevelopment and Learning in Adaptive Networks, q qVisual Functionq, and qMotor Control and the Cerebellum.this transformation. A possible circuit diagram of a 2-dimensional saccade system is described on the basis of Robinsona#39;s and Scuddera#39;s models. ... Therefore, the sco cannot be an left 59 generate correspond- - in g s a C cades a , b and c, anbsp;...


Title:Dynamic Interactions in Neural Networks: Models and Data
Author: Michael A. Arbib, Amari Shun-ichi
Publisher:Springer Science & Business Media - 2012-12-06
ISBN-13:

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