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The Dynamic BrainAn Exploration of Neuronal Variability and Its Functional Significance$
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Mingzhou Ding, PhD and Dennis Glanzman,PhD

Print publication date: 2011

Print ISBN-13: 9780195393798

Published to Oxford Scholarship Online: September 2011

DOI: 10.1093/acprof:oso/9780195393798.001.0001

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Understanding Animal-to-Animal Variability in Neuronal and Network Properties

Understanding Animal-to-Animal Variability in Neuronal and Network Properties

Chapter:
(p.119) 7 Understanding Animal-to-Animal Variability in Neuronal and Network Properties
Source:
The Dynamic Brain
Author(s):

Astrid A. Prinz

Tomasz G. Smolinski

Amber E. Hudson

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195393798.003.0007

Recent findings from electrophysiological, molecular, and modeling studies indicate that identified neurons and small neuronal networks can generate similar functional electrical activity on the basis of different cellular and synaptic properties. This chapter explores the implications of such animal-to-animal variability in neuronal and network properties for reliable circuit function, describes correlations between cellular parameters that have been identified both experimentally and through computational modeling, discusses the concept of a “solution space” (i.e., an extended subset of a neuronal system’s parameter space that generates proper functional output), and reviews the recently developed approaches of exhaustive computational exploration of a neuronal system’s parameter space and construction and analysis of model neuron or network databases.

Keywords:   identified neurons, modeling, solution space, model database, animal-to-animal variability

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