Oscillatory neural networks : in problems of parallel information processing /

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kuzʹmina, M. G. (Margarita Georgievna)
Otros Autores: Manykin, Ė. A. (Ėduard Anatolʹevich), Grichuk, E. S. (Evgeniĭ Sergeevich)
Formato: Electrónico eBook
Idioma:Inglés
Ruso
Publicado: Berlin ; Boston : Walter de Gruyter GmbH & Co. KG, [2014]
Temas:
Human information processing.
Neural networks (Neurobiology)
Mental Processes
Traitement de l'information chez l'être humain.
Réseaux neuronaux (Neurobiologie)
MEDICAL > Physiology.
SCIENCE > Life Sciences > Human Anatomy & Physiology.
Human information processing
Computational Mathematics.
Coupled Oscillators.
Image Processing.
Neural Networks.
Self-Organization.
Synchronization.
Acceso en línea:Texto completo
Descripción
Sumario: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.
Notas:Electronic version available.
Restrictions on access to electronic version: access available to SOAS staff and students only, using SOAS id and password.
Descripción Física:1 online resource (172 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9783110269208
3110269201

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