Neural connectivity and dynamical regimes of neural activity in a network of interactive populations

  • Authors:
  • Roman Borisyuk

  • Affiliations:
  • Centre for Theoretical and Computational Neuroscience, University of Plymouth, Plymouth, UK

  • Venue:
  • BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
  • Year:
  • 2005

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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.