Diffusion associative network: diffusive hybrid neuromodulation and volume learning

  • Authors:
  • P. Fernandez Lopez;C. P. Suarez Araujo;P. Garcia Baez;G. Sanchez Martin

  • Affiliations:
  • Department of Computer Sciences and Systems, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Canary Islands, Spain;University Institute for Cibernetic Sciences and Technologies, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Canary Islands, Spain;Department of Statistics, Operating Research and Computation. University of La Laguna, La Laguna, Canary Islands, Spain;Department of Computer Sciences and Systems, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Canary Islands, Spain

  • Venue:
  • IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
  • Year:
  • 2003

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Abstract

The dynamics of a network built out of excitatory and inhibitory neurons is investigated in terms of burst synchronization. The inherent activity of the neurons is controlled by a set of three delay differential equations. We take into account time delays due to propagational and synaptical delays, nonlinearities due to the synaptic transmission process and the spike generation. Intermittent synchronized network activity is observed. A mechanism for this self organized activity is proposed and bases on the occurrence and propagation of bursting activity. The results are discussed in the context of epilepsy research.