Synchronization of Neural Activity and Models of Information Processing in the Brain

Roman Borisyuk, Galina Borisyuk, and Yakov Kazanovich

The paper considers computational models of neural networks aim to reproduce neurophysiological experimental data on spatio-temporal patterns registered in brain structures and to check hypotheses about the role of synchronization, temporal and phase relations in information processing. Three sections of the paper are devoted, respectively, to the neuronal coding, to the models that are used to study phase relations in osciUatory activity of neural assemblies, and to synchronization based models of attention.


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