Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)

Koch, Christof

ISBN 10: 0195104919 / ISBN 13: 9780195104912

Published by Oxford University Press, USA, 1998

About this Item

Seller Inventory # 71J31_22_0195104919

Bibliographic Details

• Title: Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)
• Publisher: Oxford University Press, USA
• Publication Date: 1998
• Language: English
• ISBN 10: 0195104919
• ISBN 13: 9780195104912
• Binding: Hardcover
• Condition: new

About this title

Synopsis

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.
Biophysics of Computation: Information Processing in Single Neurons 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.

About the Author

Christof Koch, Professor of Computation and Neural Systems, California Institute of Technology.