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Greg Stuart, Nelson Spruston, and Michael Häusser

Print publication date: 2007

Print ISBN-13: 9780198566564

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780198566564.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 19 April 2021

An historical perspective on modeling dendrites

An historical perspective on modeling dendrites

(p.309) Chapter 12 An historical perspective on modeling dendrites

Wilfrid Rall

Oxford University Press

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. This chapter provides an historical perspective of the development of such models, paying attention to the progression from passive, linear models to the more complex case of neurons with extensive branching and nonlinear properties.

Keywords:   dendritic trees, mathematical models, neurons, dendrite models, neurophysiology, linear models

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