Mathematical Foundations of Neuroscience

This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important...

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Bibliographic Details
Main Authors: Ermentrout, G. Bard (Author), Terman, David H. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2010.
Series:Interdisciplinary Applied Mathematics, 35
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • The Hodgkin–Huxley Equations
  • Dendrites
  • Dynamics
  • The Variety of Channels
  • Bursting Oscillations
  • Propagating Action Potentials
  • Synaptic Channels
  • Neural Oscillators: Weak Coupling
  • Neuronal Networks: Fast/Slow Analysis
  • Noise
  • Firing Rate Models
  • Spatially Distributed Networks.