Single Neuron Computation (Neural Networks: Foundations to Applications) - Hardcover

Hardcover

ISBN 10: 012484815X ISBN 13: 9780124848153

Publisher: Academic Press, 1992

Synopsis

This book contains 22 original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems- level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs. The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.

About this edition

• Publisher: Academic Press
• Publication date: 1992
• ISBN 10: 012484815X
• ISBN 13: 9780124848153
• Binding: Hardcover
• Number of pages: 644
• Editor: McKenna Thomas M., Davis Joel L., Zornetzer Steven F.