Neural network modeling : statistical mechanics and cybernetic perspectives /

"Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent...

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Bibliographic Details
Main Authors:	Neelakanta, Perambur S. (Author), De Groff, Dolores F. (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton, Fla. : CRC Press, ©1994.
Subjects:	Neural networks (Computer science) Réseaux neuronaux (Informatique) COMPUTERS > General. Neuronales Netz Stochastisches dynamisches System Neurale netwerken. Réseaux neronaux (informatique) Cybernétique. Intelligence artificielle. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Introduction
Neural and Brain Complex
Concepts of Mathematical Neurobiology
Pseudo-Thermodynamics of Neural Activity
The Physics of Neural Activity: A Statistical Mechanics Perspective
Stochastical Dynamics of the Neural Complex
Neural Field Theory: Quasiparticle Dynamics and Wave Mechanics Analogies of Neural Networks
Informatic Aspects of Neurocybernetics
Appendix A: Magnetism and the Ising Spin-Glass Model
Appendix B: Matrix Methods in Little's Model
Appendix C: Overlap of Replicas and Replica Symmetry Ansatz.