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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: McKenna, Thomas M., Davis, Joel L., 1942-, Zornetzer, Steven F.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Academic Press, �1992.
Colección:Neural networks, foundations to applications.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (xiv, 644 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:012484815X
9780124848153
9781483296067
1483296067
9781322472928
1322472920