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Dendrites$
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Greg Stuart, Nelson Spruston, and Michael Häusser

Print publication date: 2016

Print ISBN-13: 9780198745273

Published to Oxford Scholarship Online: May 2016

DOI: 10.1093/acprof:oso/9780198745273.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 12 November 2019

Modeling dendrites: a personal perspective

Modeling dendrites: a personal perspective

Chapter:
(p.429) Chapter 14 Modeling dendrites: a personal perspective
Source:
Dendrites
Author(s):

Wilfrid Rall

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198745273.003.0014

The advent of microelectrode recordings from neurons with branching dendritic trees presented a new problem for neurophysiologists: how to interpret the data obtained from these non-isopotential structures. An important step was the development of mathematical models of dendrites. The theory behind these models is discussed in detail in other chapters. This chapter provides a personal view of the development of such models, paying attention to the progression from passive, linear models to the more complex case of neurons with extensive dendritic branching and nonlinear properties.

Keywords:   mathematical models, microelectrode recordings, neurophysiology, nonlinear properties, dendritic branching

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