Biophysics of computation : information processing in single neurons /

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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Koch, Christof, 1956-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Oxford University Press, 1999.
Colección:Computational neuroscience.
Temas:
Computational neuroscience.
Neurons.
Neural networks (Neurobiology)
Action potentials (Electrophysiology)
Neural conduction.
Neural circuitry.
Neurons
Action Potentials
Nerve Net
Neural Conduction
Neurosciences informatiques.
Neurones.
Réseaux neuronaux (Neurobiologie)
Potentiels d'action (Électrophysiologie)
Conduction nerveuse.
Réseaux nerveux.
SOCIAL SCIENCE > Anthropology > Physical.
Neural circuitry
Computational neuroscience
Neural conduction
Neurologie
Aktionspotenzial
Neuronales Netz
Nervennetz
Signaltransduktion
Konnektionismus
Biophysik
Datenverarbeitung
Nervenzelle
Informationsverarbeitung
Neurobiologie.
Actiepotentialen.
Neurotransmissie.
Réseaux neuronaux (physiologie)
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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