Theoretical Neuroscience

Computational and Mathematical Modeling of Neural Systems

Peter Dayan, L. F. Abbott - Collection Neuroscience

470 pages, parution le 04/10/2005

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Résumé

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.

L'auteur - Peter Dayan

Peter Dayan is on the faculty of the Gatsby Computational Neuroscience Unit at University College London.

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L'auteur - L. F. Abbott

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).

Sommaire

Neural Encoding and Decoding
- Neural Encoding I: Firing Rates and Spike Statistics
- Neural Encoding II: Reverse Correlation and Visual Receptive Fields
- Neural Decoding
- Information Theory
Neurons and Neural Circuits
- Model Neurons I: Neuroelectronics
- Model Neurons II: Conductances and Morphology
- Network Models
Adaptation and Learning
- Plasticity and Learning
- Classical Conditioning and Reinforcement Learning
- Representational Learning
- Mathematical Appendix

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Caractéristiques techniques

	PAPIER
Éditeur(s)	The MIT Press
Auteur(s)	Peter Dayan, L. F. Abbott
Collection	Neuroscience
Parution	04/10/2005
Nb. de pages	470
Format	20 x 25
Couverture	Relié
Poids	1095g
Intérieur	Noir et Blanc
EAN13	9780262541855
ISBN13	978-0-262-54185-5