Functional connectivity driven by external stimuli in a network of hierarchically organized neural modules

  • Authors:
  • Vladyslav Shaposhnyk;Pierre Dutoit;Stephen Perrig;Alessandro E. P. Villa

  • Affiliations:
  • Grenoble Institute of Neuroscience, Université Joseph Fourier, Grenoble, France and Non-linear Analysis Department, Institute for Applied System Analysis, State Techical University "Kyivskyy ...;Grenoble Institute of Neuroscience, Université Joseph Fourier, Grenoble, France and Sleep Research Laboratory, Dept. of Psychiatry Belle-Idée, Hôpitaux Universitaires de Genève ...;Sleep Research Laboratory, Dept. of Psychiatry Belle-Idée, Hôpitaux Universitaires de Genève, Switzerland;Grenoble Institute of Neuroscience, Université Joseph Fourier, Grenoble, France and Sleep Research Laboratory, Dept. of Psychiatry Belle-Idée, Hôpitaux Universitaires de Genève ...

  • Venue:
  • ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Complex neural modules with embedded neural development and synaptic plasticity features have been connected to form a hierarchical recurrent circuit. Virtual electrodes have been used to record a "neural" generated signal, called electrochipogram EChG, from each module. The EChG are processed by frequency domain methods to determine the modifications in functional connectivity by assessing quadratic phase coupling. The experimental paradigm is aimed to describe what happened prior to, at the beginning, towards the end, and after repeating an external input at fixed frequency. The results are discussed by comparing with the same signal processing methods applied to a human study.