Theoretical Neuroscience. Computational And Mathematical Modeling Of Neural Systems - Couverture rigide

Livre 2 sur 6: Computational Neuroscience

Dayan, Peter; Abbott, L-F

 
9780262041997: Theoretical Neuroscience. Computational And Mathematical Modeling Of Neural Systems

Synopsis

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory. The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

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À propos de l?auteur

Peter Dayan is on the faculty of the Gatsby Computational Neuroscience Unit at University College London. L. F. Abbott is the Nancy Lurie Marks Professor of Neuroscience and Director of the Volen Center for Complex Systems at Brandeis University. He is the coeditor of Neural Codes and Distributed Representations (MIT Press, 1999).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9780262541855: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Edition présentée

ISBN 10 :  0262541858 ISBN 13 :  9780262541855
Editeur : The MIT Press, 2005
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