Biophysics of computation: information processing in single neurons
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Bibliographische Detailangaben
1. Verfasser: Koch, Christof (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: New York Oxford University Press 1999
Schriftenreihe:Computational neuroscience
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Beschreibung:Includes bibliographical references (pages 503-552) and index
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 b
The membrane equation --Linear cable theory -- Passive dendritic trees -- Synaptic input -- Synaptic interactions in a passive dendritic tree -- The Hodgkin-Huxley model of action potential generation -- Phase space analysis of neuronal excitability -- Ionic channels -- Beyond Hodgkin and Huxley: calcium and calcium-dependent potassium currents -- Linearizing voltage-dependent currents -- Diffusion, buffering and binding -- Dendritic spines -- Synaptic plasticity -- Simplified models of individual neurons -- Stochastic models of single cells -- Bursting cells -- Input resistance, time constants, and spike initiation -- Synaptic input to a passive tree -- Voltage-dependent events in the dendritic tree -- Unconventional computing -- Computing with neurons: a summary -- Appendix A: Passive membrane parameters -- Appendix B: A miniprimer on linear systems analysis -- Appendix C: Sparce matrix methods for modeling single neurons
Beschreibung:1 Online-Ressource (xxiii, 562 pages)
ISBN:0195104919
0195181999
0199760551
9780195104912
9780195181999
9780199760558

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