Gap-Junctions promote synchrony in a network of inhibitory interneurons in the presence of heterogeneities and noise

  • Authors:
  • Santi Chillemi;Alessandro Panarese;Michele Barbi;Angelo Di Garbo

  • Affiliations:
  • Istituto di Biofisica CNR, Sezione di Pisa, Pisa, Italy;Istituto di Biofisica CNR, Sezione di Pisa, Pisa, Italy;Istituto di Biofisica CNR, Sezione di Pisa, Pisa, Italy;Istituto di Biofisica CNR, Sezione di Pisa, Pisa, Italy

  • Venue:
  • IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I
  • Year:
  • 2005

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Abstract

Recent experiments revealed that inhibitory interneurons networks are coupled by both electrical and inhibitory synapses. Moreover these findings suggest that a population of interneurons operate as a clockwork affecting the processing of neural information. In this paper we determine, in the weak coupling limit, the parameter values leading to the emergence of synchronous regime in a pair of Fast Spiking interneurons coupled by chemical and electrical synapses. Then, our results will be compared with those obtained recently in [1] for a pair of coupled Integrate & Fire neural models. Next, the effects of heterogeneities and noise on the coherence properties of the network (containing two or more coupled units) will be investigated numerically.