Biophysics of Computation : Information processing in single neurons / by C. Koch. [Electronic Resource]
Material type: Computer filePublication details: New York : Oxford University Press, 1998ISBN:- 9780195104912
- 573.8536Â K811B
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
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e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 573.8536 K811B (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : Oxford Academic | EB0542 |
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572.8636 D785S Statistics and Data Analysis for Microarrays Using R and Bioconductor | 572.865 T789A Anatomy of Gene Regulation : A Three-Dimensional Structural Analysis | 572.88 K843R RNA-seq Data Analysis : A Practical Approach | 573.8536 K811B Biophysics of Computation : Information processing in single neurons | 579 H424M Microbiology in Action | 579 M265B Brock Biology of Microorganisms | 579.316 5 H397H Horizontal Gene Transfer in the Evolution of Pathogenesis |
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.
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