Oscillatory Neural Networks In Problems of Parallel Information Processing
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Margarita G. Kuzmina, Eduard A. Manykin, Evgeny S. Grichuk
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Oscillatory Neural Networks In Problems of Parallel Information Processing
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Walter de Gruyter GmbH& Co.KG
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9783110269208
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1
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CHF 160.60
:
:
Allgemeines, Lexika
:
English
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172
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Wasserzeichen/DRM
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PC/MAC/eReader/Tablet
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PDF
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< >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. br />
M.G. Kuzmina
, Keldysh Inst. of Applied Maths RAS;
E.A. Manykin
, NRC Kurchatov Inst.;
E.S. Grichuk,
NRC Kurchatov Inst.
Preface
5
Acknowledgments
8
Contents
9
1. Introduction
13
2. Neural and oscillatory networks of associative memory
51
3. Oscillatory networks for modeling the brain structures performance
87
4. Image processing based on the oscillatory network model
115
5. Parallel information processing and photon echo
139
6. Stochastic oscillators for modeling polarized light beams
154
Summary and some perspectives
169
Index
171
