Investigating the synchronization of cortical neurons using BRIAN simulator

Sadeem Nabeel Saleem Kbah, N. Serap Sengor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Looking at the computational properties of brain has been inspiring in constructing intelligent systems. So, trying to mimic the brain's computational properties with simple models could give rise to new approaches. Here, the role of connection weights on the synchronization of cortex oscillations is investigated. To carry out this investigation, networks inspired by the structure of cortex are built using a simple neuron model. The simulations are carried out in BRIAN, which is a simulation environment using Python programming language and it is created to provide a workspace on spiking neural networks.

Original languageEnglish
Title of host publication2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013 - Albena, Bulgaria
Duration: 19 Jun 201321 Jun 2013

Publication series

Name2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013

Conference

Conference2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013
Country/TerritoryBulgaria
CityAlbena
Period19/06/1321/06/13

Keywords

  • cortex
  • Izhikevich neuron model
  • neuron connections
  • synchronization

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