Neural Modeling: Electrical Signal Processing in Nervous Systems

MacGregor, Ronald J.; Edwin R. Lewis

ISBN 10: 0306308711 / ISBN 13: 9780306308710

Published by Plenum Press, New York and London, 1977

About this Item

xiv, 414 pp with extensive charts, text illustrations. Seller Inventory # 020169

Bibliographic Details

Title: Neural Modeling: Electrical Signal ...

Publisher: Plenum Press, New York and London

Publication Date: 1977

Binding: Blue Gilt Lettered Cloth

Condition: Near Fine

Dust Jacket Condition: Very Good

Edition: First Edition

About this title

Synopsis:

The purpose of this book is to introduce and survey the various quantitative methods which have been proposed for describing, simulating, embodying, or characterizing the processing of electrical signals in nervous systems. We believe that electrical signal processing is a vital determinant of the functional organization of the brain, and that in unraveling the inherent complexities of this processing it will be essential to utilize the methods of quantification and modeling which have led to crowning successes in the physical and engineering sciences. In comprehensive terms, we conceive neural modeling to be the attempt to relate, in nervous systems, function to structure on the basis of operation. Sufficient knowledge and appropriate tools are at hand to maintain a serious and thorough study in the area. However, work in the area has yet to be satisfactorily integrated within contemporary brain research. Moreover, there exists a good deal of inefficiency within the area resulting from an overall lack of direction, critical self-evaluation, and cohesion. Such theoretical and modeling studies as have appeared exist largely as fragmented islands in the literature or as sparsely attended sessions at neuroscience conferences. In writing this book, we were guided by three main immediate objectives. Our first objective is to introduce the area to the upcoming generation of students of both the hard sciences and psychological and biological sciences in the hope that they might eventually help bring about the contributions it promises.