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Weakly Connected Neural Networks /

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This book is devoted to local and global analysis of weakly connected systems with applications to neurosciences. Using bifurcation theory and canonical models as the major tools of analysis, it presents systematic and well motivated development of both weakly connected system theory and mathematica...

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Bibliographic Details
Main Author: Hoppensteadt, Frank C. (Frank Charles), 1938-
Corporate Author: SpringerLink (Online service)
Other Authors: Izhikevich, Eugene M.
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint : Springer, 1997.
Series:Applied mathematical sciences (Springer-Verlag New York Inc.) ; 126.
Subjects:
Mathematics.
Neurosciences.
Global analysis (Mathematics)
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Dedication
  • Preface
  • Acknowledgment
  • Introduction
  • Models in Mathematical Biology
  • Ordinary Language Models
  • Qualifications
  • Dale's Principle
  • Weakness of Synaptic Connections
  • How small is E?- Size of PSP
  • A Common Misinterpretation
  • Spike Delays
  • Changes of Synaptic Efficacy
  • Empirical Models
  • Activities of Neurons.