Abstract
The paper considers computational models of spatio-temporal patterns of neural activity to check hypotheses about the role of synchronisation, temporal and phase relations in information processing. Three sections of the paper are devoted, respectively, to the neuronal coding; to the study of phase relations of oscillatory activity in neural assemblies; and to synchronisation based models of attention.
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Borisyuk, R., Borisyuk, G., Kazanovich, Y. (2001). Temporal Structure of Neural Activity and Modelling of Information Processing in the Brain. In: Wermter, S., Austin, J., Willshaw, D. (eds) Emergent Neural Computational Architectures Based on Neuroscience. Lecture Notes in Computer Science(), vol 2036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44597-8_18
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DOI: https://doi.org/10.1007/3-540-44597-8_18
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