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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.
- Sales Rank: #611130 in Books
- Published on: 2004-10-28
- Original language: English
- Number of items: 1
- Dimensions: 6.40" h x 1.10" w x 9.20" l, 1.95 pounds
- Binding: Paperback
- 588 pages
About the Author
Christof Koch is at California Institute of Technology.
Most helpful customer reviews
32 of 33 people found the following review helpful.
One of the most important book on neurology in a decade.
By Alwyn Scott (acs@math.arizona.edu)
For young research scientists who are interested in understanding the dynamics of the human brain, Koch's book provides the ideal introduction. Written in a precise yet easy style, the 21 Chapters of "Biophysics of Computation" begin at the beginning, introducing the reader to elementary electrical properties of membrane patches, linear cable theory, and the properties of passive dendritic trees. These introductory chapters are followed by two on the properties of synapses and the various ways that synapses can interact to perform logic on passive dendritic trees. Then the Hodgkin--Huxley formulation is discussed in detail, and various simplifying models are presented. As a basis for the Hodgkin--Huxley description, our present understanding of ionic channels is reviewed and the importance of calcium currents is emphasized. Further chapters discuss linearization of the H--H equations for small amplitude analysis, a careful examination of ionic diffusion, electrochemical properties of dendritic spines, synaptic plasticity, simple neural models, stochastic neural models. and the properties of bursting cells. Just about every facet of current neural knowledge is touched upon, with appropriate references to a carefully selected bibliography which will help the diligent novice delve deeply into whatever aspect of neural information processing that he or she chooses.
All of the above comprises an extended introduction to Chapters 17 through 19, which in the words of the author: "synthesize the previously learned lessons into a complete account of the events occuring in realistic dendritic trees with all of their attendant nonlinearities. We will see that dendrites can indeed be very powerful, nontraditional computational devices, implementing a number of continuous operations."
Thus "Biophysics of Computation" offers a definitive statement for the direction in which the neural research of the new century should go. Chapter 20, the penultimate, discussed several speculations for non-neural computation in the brain, ranging from molecular computing below the level of a single neuron to the effects of chemical diffusants (nitric oxide, calcium ions, carbon monoxide, etc.) on large numbers of neurons. Although this entire area has been neglected by the neuroscience community, Koch points out that there are no good reasons for doing so.
Finally, in the summary of Chapter 21, seven problems for future research projects are listed, emphasizing that the study of information processing in single neurons is very much a work in progress.
3 of 3 people found the following review helpful.
Excellent look at Neurophysics and Computatinal Processes of Neurons
By Matthew Bailey
I am still about 1 half a year away from having all of the math and biology needed to understand ALL of this book, but it's descriptions of single-unit computational processes are clear and easy to parse even without a the additional math and biology.
That said, this IS a book for professionals and students of Computational Neuroscience. It is not intended for a lay audience.
0 of 0 people found the following review helpful.
Five Stars
By Meaux Meaux
The book is good quality as promised and delivered on time.
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