Models of Neural Networks I [electronic resource] /

This collection of articles responds to the urgent need for timely and comprehensive reviews in a multidisciplinary, rapidly developing field of research. The book starts out with an extensive introduction to the ideas used in the subsequent chapters, which are all centered around the theme of collective phenomena in neural netwerks: dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software), and structured nets (hardware). The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neural networks.

Bibliographic Details

Main Authors:	Domany, Eytan. editor., Hemmen, J. Leo van. editor., Schulten, Klaus. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg, 1995
Subjects:	Physics., Neurosciences., Pattern recognition., Biophysics., Biological physics., Statistical physics., Dynamical systems., Statistical Physics, Dynamical Systems and Complexity., Pattern Recognition., Biophysics and Biological Physics.,
Online Access:	http://dx.doi.org/10.1007/978-3-642-79814-6
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