Abstract
We study the dynamics of neural activity in networks of interactive neural populations with periodic forcing. Two extreme cases of connection architectures are considered: (1) regular and homogeneous grid with local connections and (2) sparse random coupling. In the network of the first type, a propagating wave has been found for excitatory-to-excitatory local connections. It was shown that in the network with random excitatory and inhibitory connections about 60% of neural populations work in the oscillatory regime and some of these oscillations are synchronous. We discuss the regime of partial synchronization in the context of the cortical microcircuit.
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Borisyuk, R. (2005). Neural Connectivity and Dynamical Regimes of Neural Activity in a Network of Interactive Populations. In: De Gregorio, M., Di Maio, V., Frucci, M., Musio, C. (eds) Brain, Vision, and Artificial Intelligence. BVAI 2005. Lecture Notes in Computer Science, vol 3704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11565123_4
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DOI: https://doi.org/10.1007/11565123_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29282-1
Online ISBN: 978-3-540-32029-6
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