Neural Nets: Foundations to Applications. xiv, 644 p. 24 cm. B&w illustrations. Small section in colour. Signature on front endpaper. Faint mark on front.

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Bibliographic Details

Title

Single Neuron Computation

Publisher

Academic Press, Boston

Publication Date

1992

ISBN 10

012484815X

ISBN 13

9780124848153

Binding

Hardcover

Condition

Very good +

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Science

About this title

Synopsis

This book contains twenty-two 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.

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