http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
statistical mechanics and cybernetic perspectives
1 online resource (xv, 240 pages) : illustrations
"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 explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions"--Publisher description
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.
Perambur S. Neelakanta, Dolores F. De Groff.
Includes bibliographical references (pages 222-231) and index.