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Author Kuzʹmina, M. G. (Margarita Georgievna)

Title Oscillatory neural networks : in problems of parallel information processing / Margarita G. Kuzmina, Eduard A. Manykin, Evgeny Grichuk.

Publication Info. Berlin ; Boston : Walter de Gruyter GmbH & Co. KG, [2014]

Item Status

Description 1 online resource (172 pages) : illustrations.
Note Electronic version available.
Restrictions on access to electronic version: access available to SOAS staff and students only, using SOAS id and password.
Bibliography Includes bibliographical references and index.
Contents Preface; Acknowledgments; Contents; 1. Introduction; 2. Neural and oscillatory networks of associative memory; 3. Oscillatory networks for modeling the brain structures performance; 4. Image processing based on the oscillatory network model; 5. Parallel information processing and photon echo; 6. Stochastic oscillators for modeling polarized light beams; Summary and some perspectives; Index.
Summary Neural-like oscillatory network models allow to elucidate the possibilities of dynamical, synchronization-based types of image processing exploited by the brain. The oscillatory network capabilities, studied by means of computer modeling and qualitative analysis, are presented and discussed in this book, as well as several other problems of parallel distributed information processing.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Human information processing.
Neural networks (Neurobiology)
Genre/Form Electronic books.
Electronic books.
Added Author Manykin, Eduard.
Grichuk, Evgeny.
Added Title Ost︠s︡illi︠a︡tornye neĭronnye seti. English
Other Form: Print version: Kuzʹmina, M. G. Oscillatory neural networks : in problems of parallel information processing. Berlin : Walter de Gruyter GmbH & Co. KG, [2014] xii, 160 pages 9783110268355 (DLC) 2013029896
ISBN 9783110268355 (acid-free paper)
9783110269208 (e-book)