Neural Network Modeling

Statistical Mechanics and Cybernetic Perspectives

P. S. Neelakanta, Dolores Degroff (Autoren)

Buch | Hardcover

256 Seiten

1994
Crc Press Inc (Verlag)
978-0-8493-2488-8 (ISBN)

Artikel merken

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.

Neelakanta, P. S.; DeGroff, Dolores

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.

Erscheint lt. Verlag	12.7.1994
Zusatzinfo	2 Tables, black and white
Verlagsort	Bosa Roca
Sprache	englisch
Maße	156 x 234 mm
Gewicht	630 g
Einbandart	gebunden
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	0-8493-2488-2 / 0849324882
ISBN-13	978-0-8493-2488-8 / 9780849324888
Zustand	Neuware