Single neuron computation /
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 informat...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
Boston :
Academic Press,
©1992.
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| Series: | Neural networks, foundations to applications.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xiv, 644 pages) : illustrations |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 012484815X 9780124848153 9781483296067 1483296067 9781322472928 1322472920 |