Phase synchronizing in Hindmarsh-Rose neural networks with delayed chemical coupling

  • Authors:
  • Mahdi Jalili

  • Affiliations:
  • Department of Computer Engineering, Sharif University of Technology, Azadi Avenue, Tehran, Iran

  • Venue:
  • Neurocomputing
  • Year:
  • 2011

Quantified Score

Hi-index 0.01

Visualization

Abstract

Although diffusive electrical connections in neuronal networks are instantaneous, excitatory/inhibitory couplings via chemical synapses encompass a transmission time-delay. In this paper neural networks with instantaneous electrical couplings and time-delayed excitatory/inhibitory chemical connections are considered and scaling of the spike phase synchronization with the unified time-delay in the network is investigated. The findings revealed that in both excitatory and inhibitory chemical connections, the phase synchronization could be enhanced by introducing time-delay. The role of the variability of the neuronal external current in the phase synchronization is also investigated. As individual neuron models, Hindmarsh-Rose model is adopted and the network structure of the electrical and chemical connections is considered to be Watts-Strogatz and directed random networks, respectively.