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Lecture Notes in Mathematics

Lecture Notes in Mathematics: Mathematical Neuroscience

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Lecture Notes in Mathematics: Mathematical Neuroscience

Borisyuk, Alla; Ermentrout, G. Bard; Friedman, Avner; Terman, David H.

This volume introduces some basic theories on computational neuroscience. Chapter 1 is a brief introduction to neurons, tailored to the subsequent chapters. Chapter 2 is a self-contained introduction to dynamical systems and bifurcation theory, oriented towards neuronal dynamics. The theory is illustrated with a model of Parkinson's disease. Chapter 3 reviews the theory of coupled neural oscillators observed throughout the nervous systems at all levels; it describes how oscillations arise, what pattern they take, and how they depend on excitory or inhibitory synaptic connections. Chapter 4 specializes to one particular neuronal system, namely, the auditory system. It includes a self-contained introduction, from the anatomy and physiology of the inner ear to the neuronal network that connects the hair cells to the cortex, and describes various models of subsystems.

Details

Published by: Springer

Publication Date: 2005-02-18

Format: Paperback

ISBN-13: 9783540238584

DOI: 10.1007/b102786

Dimensions: 235cm x155cm

Pages: 170

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