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Mat. Biolog. Bioinform., 2010, Volume 5, Issue 1, Pages 43–97 (Mi mbb49)  

This article is cited in 1 scientific paper (total in 1 paper)

Mathematical Modeling

Temporal correlation theory and modeling the segmentation of the visual information in the brain (a review)

Ya. B. Kazanovich

Institute of Mathematical Problems of Biology, Russian Academy of Sciences

Abstract: A review of neural network models for image segmentation is presented. The models are based on dynamic processes, oscillations, and synchronization of neural activity. Neurobiological principles of the models, the mechanisms of their functioning, and the results of simulations are described. The performance of the models and the perspectives of improving the segmentation quality are discussed.

Key words: image segmentation, oscillatory neural networks, synchronization, feature binding, memory, attention.

Full text: PDF file (1662 kB)
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UDC: 001(06)+004.032.26(06)
Received 21.06.2010, Published 28.06.2010

Citation: Ya. B. Kazanovich, “Temporal correlation theory and modeling the segmentation of the visual information in the brain (a review)”, Mat. Biolog. Bioinform., 5:1 (2010), 43–97

Citation in format AMSBIB
\Bibitem{Kaz10}
\by Ya.~B.~Kazanovich
\paper Temporal correlation theory and modeling the segmentation of the visual information in the brain (a~review)
\jour Mat. Biolog. Bioinform.
\yr 2010
\vol 5
\issue 1
\pages 43--97
\mathnet{http://mi.mathnet.ru/mbb49}


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    This publication is cited in the following articles:
    1. Spitsyn V.G., “Modelirovanie vzaimodeistviya elektromagnitnogo signala s ostsillyatornoi neironnoi setyu na osnove primeneniya chastotnykh spektrov kolebanii zhivykh neironov”, Elektromagnitnye volny i elektronnye sistemy, 16:11 (2011), 17–21  elib
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