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Realistic single-neuron modeling

Authors
Journal
Seminars in Neuroscience
1044-5765
Publisher
Elsevier
Publication Date
Volume
4
Issue
1
Identifiers
DOI: 10.1016/1044-5765(92)90030-6
Keywords
  • Computer Model
  • Compartmental Model
  • Cable Model
  • Channel Kinetics
Disciplines
  • Biology
  • Computer Science

Abstract

Abstract Realistic single-neuron modeling organizes and clarifies physiological hypotheses. It extends the experimenter's intuition and leads to testable predictions. A powerful new algorithm, several user-friendly software packages and the advent of fast, cheap computers have together made this tool accessible to a broad range of neurobiologists. Equally dramatic advances in experimental findings have increased the level of sophistication of the models. Here we provide a guide to single-neuron modeling, illustrate its power with a few examples and speculate on possible future directions for this rapidly growing field.

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