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

By: Contributor(s): Material type: TextTextLanguage: English Original language: Russian Publisher: Berlin ; Boston : Walter de Gruyter GmbH & Co. KG, [2014]Copyright date: ©2014Description: 1 online resource (172 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783110269208
  • 3110269201
Uniform titles:
  • Ost︠s︡illi︠a︡tornye neĭronnye seti. English
Subject(s): Genre/Form: Additional physical formats: Print version:: Oscillatory neural networks : in problems of parallel information processing.DDC classification:
  • 612.8 23
LOC classification:
  • QP396 .K8913 2014eb
Online resources:
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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Science Available
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Electronic version available.

Restrictions on access to electronic version: access available to SOAS staff and students only, using SOAS id and password.

Includes bibliographical references and index.

Print version record.

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.

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.

English.

Added to collection customer.56279.3

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