Computational modeling of dendrites

William L. Kath*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations

Abstract

Computational methods have been part of neuroscience for many years. For example, models developed with these methods have provided a theory that helps explain the action potential. More recently, as experimental patch-electrode techniques have revealed new biophysics related to dendritic function and synaptic integration, computational models of dendrites have been developed to explain and further illuminate these results, and to predict possible additional behavior. Here, a collection of computational models of dendrites is reviewed. The goal is to help explain how such computational techniques work, some of their limitations, and what one can hope to learn about dendrites by modeling them.

Original languageEnglish (US)
Pages (from-to)91-99
Number of pages9
JournalJournal of Neurobiology
Volume64
Issue number1
DOIs
StatePublished - Jul 2005

Keywords

  • Computational modeling
  • Dendrites
  • Morphological reconstructions

ASJC Scopus subject areas

  • Cellular and Molecular Neuroscience
  • General Neuroscience

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