Modeling in the Neurosciences: From Ionic Channels to Neural Networks

by R.R. Poznanski (Editor)

Overview

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

Product Details

ISBN-13:	9781351430968
Publisher:	CRC Press
Publication date:	01/22/2019
Sold by:	Barnes & Noble
Format:	eBook
Pages:	528
File size:	17 MB
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About the Author

R.R. Poznanski

Table of 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.

Editorial Reviews

Asserting that previous notions about the best methods of modeling the nervous system are wrong, and particularly that non-analytic methods such as the compartmental approach only generate a false sense of biological realism and are especially inappropriate for modeling large circuits of neurons, explores some of the newer avenues of theoretical work towards more powerfully realistic models. The methods were chosen as inspirational examples for experienced modelers or researchers, rather than to be comprehensive or even representative. The topics include the statistical analysis of ionic channel current fluctuations, parameter estimation algorithms for the shunt cable model, syncytial integration in the outer retina, the numerical modeling of neocortical pyramid cells, and the dynamics of associative memory networks. Annotation c. by Book News, Inc., Portland, Or.

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