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Computational Modeling Methods for Neuroscientists$
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Erik De Schutter

Print publication date: 2009

Print ISBN-13: 9780262013277

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262013277.001.0001

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Passive Cable Modeling

Passive Cable Modeling

Chapter:
(p.233) 10 Passive Cable Modeling
Source:
Computational Modeling Methods for Neuroscientists
Author(s):

William R. Holmes

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262013277.003.0011

This chapter examines the basic passive cable theory, evaluates the properties of passive systems important for experimentalists, and presents some insights from cable theory. It also describes how to estimate electrotonic parameter values from experimental data, along with problems associated with these older techniques. Modern methods for estimating parameter values from data for passive systems and guidelines for constructing passive models are explained, along with potential pitfalls that one should be aware of. The chapter suggests that passive electrotonic parameters in the model should be fit to match multiple voltage traces from the experimental cell, to make the modeled cell electrotonically similar to the experimental cell.

Keywords:   passive cable theory, passive systems, electrotonic parameter, passive models, multiple voltage

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