Oscillatory Neural Networks In Problems of Parallel Information Processing

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
Autor principal: Kuzmina, Margarita G. (-)
Otros Autores: Manykin, Ė. A. (Ėduard Anatolʹevich), Grichuk, E. S. (Evgeniĭ Sergeevich)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin : De Gruyter 2013.
Colección:EBSCO Academic eBook Collection Complete.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b30779601*spi
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.
Descripción Física:172 p.
Formato:Forma de acceso: World Wide Web.
Bibliografía:Incluye referencias bibliográficas e índice.