Theoretical Neuroscience
Computational and Mathematical Modeling of Neural Systems

Peter Dayan and LF Abbott


Theoretical Neuroscience Contents
Exercises
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ISBN 0-262-04199-5 

MIT Press Web Page

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.


Please contact Peter Dayan or Larry Abbott for further information or to report errors.

Cover art by Heidi Cartwright.

This page in Czech, courtesy of Olga Babenko