Neurobiology of Neural Networks (Computational Neuroscience) - Hardcover

Hardcover

ISBN 10: 0262071509 ISBN 13: 9780262071505

Publisher: Bradford Books, 1993

Synopsis

This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the gap between present neural network models and the needs of neurophysiologists who are trying to use these models as part of their research on how the brain works.Daniel Gardner is Professor of Physiology and Biophysics at Cornell University Medical College.Contents: Introduction: Toward Neural Neural Networks, Daniel Gardner. Two Principles of Brain Organization: A Challenge for Artificial Neural Networks, Charles F. Stevens. Static Determinants of Synaptic Strength, Daniel Gardner. Learning Rules From Neurobiology, Douglas A. Baxter and John H. Byrne. Realistic Network Models of Distributed Processing in the Leech, Shawn R. Lockery and Terrence J. Sejnowski. Neural and Peripheral Dynamics as Determinants of Patterned Motor Behavior, Hillel J. Chiel and Randall D. Beer. Dynamic Neural Network Models of Sensorimotor Behavior, Eberhard E. Fetz.

About this title

About the Author

Marc Williams is Professor in the School of Social Sciences and International Studies at the University of New South Wales.

Edition details

• Publisher: Bradford Books
• Publication date: 1993
• Language: English
• ISBN 10: 0262071509
• ISBN 13: 9780262071505
• Binding: Hardcover
• Edition number: 1
• Number of pages: 248
• Editor: Gardner Daniel