Biophysics of Computation

Information processing in single neurons

Автор: Christof Koch

Език:

Корици: С меки корици

Издател: Oxford University Press Inc

Наличност: Външен склад

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97.75 € 191.19 лв

Neural network research often builds on the fiction that neurons are simple linear threshold units,...

Информация за книгата

Автор

Christof Koch

Език

Английски език

Корици

Книга - С меки корици

Издадена

2004

страници

586

EAN

9780195181999

ISBN

0195181999

Enbook ID

04516670

Издател

Oxford University Press Inc

Теглоt

844

Размери

159 x 236 x 36

Пълно описание

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. "Biophysics of Computation: Information Processing in Single Neurons" challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes. Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium- and potassium-currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation. This book serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.

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Biophysics of Computation

Information processing in single neurons

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