1st Edition
Neural Network Modeling Statistical Mechanics and Cybernetic Perspectives
256 Pages
by
CRC Press
256 Pages
by
CRC Press
Also available as eBook on:
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 to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and... Read more
Introduction
Neural and Brain Complex
Concepts of Mathematical Neurobiology
Pseudo-Thermodynamics of Neural Activity
The Physics of Neural Activity: A Statistical Mechanics Perspective
Stochastic Dynamics of the Neural Complex
Neural Field Theory: Quasiparticle Dynamics and Wave Mechanics Analogies of Neural Networks
Informatic Aspects of Neurocybernetics
Appendices: Magnetism and the Ising Spin-Glass Model
Matrix Methods in Little's Model
Overlap of Replicas and Replica Symmetry
Bibliography
Index
Neural and Brain Complex
Concepts of Mathematical Neurobiology
Pseudo-Thermodynamics of Neural Activity
The Physics of Neural Activity: A Statistical Mechanics Perspective
Stochastic Dynamics of the Neural Complex
Neural Field Theory: Quasiparticle Dynamics and Wave Mechanics Analogies of Neural Networks
Informatic Aspects of Neurocybernetics
Appendices: Magnetism and the Ising Spin-Glass Model
Matrix Methods in Little's Model
Overlap of Replicas and Replica Symmetry
Bibliography
Index
Biography
Neelakanta, P. S.; DeGroff, Dolores
