Computational modeling methods for neuroscientists /

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This is a guide to computational modelling methods in neuroscience covering a range of modelling scales from molecular reactions to large neural networks.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: De Schutter, Erik
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©2010.
Colección:Computational neuroscience.
Temas:
Computational neuroscience.
Neurobiology > Mathematical models.
Models, Neurological
Neurosciences > methods
Neurosciences informatiques.
Neurobiologie > Modèles mathématiques.
MEDICAL > Neuroscience.
PSYCHOLOGY > Neuropsychology.
NEUROSCIENCE/General
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Differential equations / Bard Ermentrout and John Rinzel
  • Parameter searching / Pablo Achard, Werner Van Geit, and Gwendal LeMasson
  • Reaction-diffusion modeling / Upinder S. Bhalla and Stefan Wils
  • Modeling intracellular calcium dynamics / Erik De Schutter
  • Modeling voltage-dependent channels / Alain Destexhe and John R. Huguenard
  • Modeling synapses / Arnd Roth and Mark C.W. van Rossum
  • Modeling point neurons : from Hodgkin-Huxley to integrate-and-fire / Nicolas Brunel
  • Reconstruction of neuronal morphology / Gwen Jacobs, Brenda Claiborne, and Kristen Harris
  • An approach to capturing neuron morphological diversity / Haroon Anwar [and others]
  • Passive cable modeling / William R. Holmes
  • Modeling complex neurons / Erik De Schutter and Werner Van Geit
  • Realistic modeling of small neuronal networks / Ronald L. Calabrese and Astrid A. Prinz
  • Large-scale network simulations in systems neuroscience / Reinoud Maex, Michiel Berends, and Hugo Cornelis.

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