Chapter

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

Astrid A. Prinz, Tomasz G. Smolinski and Amber E. Hudson

in The Dynamic Brain

Published in print January 2011 | ISBN: 9780195393798
Published online September 2011 | e-ISBN: 9780199897049 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195393798.003.0007
Understanding Animal-to-Animal Variability in Neuronal and Network Properties

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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

Chapter.  6159 words.  Illustrated.

Subjects: Neuroscience

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