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Biophysics of computation : information processing in single neurons / Christof Koch.

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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...

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Koch, Christof, 1956-
Format: eBook
Language:English
Published: New York : Oxford University Press, 1999.
Series:Computational neuroscience.
Subjects:
Computational neuroscience.
Neurons.
Neural networks (Neurobiology)
Action potentials (Electrophysiology)
Neural conduction.
Table of Contents:
  • 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.

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