Modeling in the Neurosciences : From Ionic Channels to Neural Networks / edited by R.R. Poznanski.

Format
Book
Language
English
Εdition
First edition.
Published/​Created
  • Boca Raton, FL : Taylor and Francis, an imprint of Routledge, [2019].
  • ©1999.
Description
1 online resource (xiii, 536 pages, 3 unnumbered pages of plates) : illustrations

Details

Subject(s)
Editor
Summary note
With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential for those interested in neuronal modeling and quantitative neiroscience. Focusing on new mathematical and computer models, techniques and methods, this monograph represents a cohesive and comprehensive treatment.
Bibliographic references
Includes bibliographical references and index.
Source of description
Description based on print version record.
Contents
Introduction to modelling in the neurosciences; statistical analysis of ionic channel current fluctuations; physiological and statistical approaches to modelling of synaptic responses; natural variability in the geometry of dendritic branching patterns; mathematical analysis of a multiple equivalent cylinder model; methods in modelling passive dendritic trees with tapering dendrites; the Lanczos procedure for generating equivalent cables; parameter estimation algorithms for the Shunt cable model; estimation of cable parameters for neurons with dendro-dendritic gap junctions; information processing by electrotonic networks of the outer retina; ionic current modelling of neurons in the outer retina; ephaptic interaction between neurons; the example of the hippocampus; numerical modelling of neocortical pyramid cells; some problems arising in models of conduction in excitable dendrites; model analysis of bistable dendrites with wind-up; nonlinear dynamics of a simplified neuron model; modelling the dynamics of associative neural networks; perspective on the analysis and synthesis of morphologically realistic neural.
Other format(s)
Also available in print format.
ISBN
  • 1-351-43097-1
  • 0-203-74689-9
  • 1-351-43096-3
OCLC
  • 1082135567
  • 437055841
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