• DocumentCode
    3498797
  • Title

    Memristor synaptic dynamics´ influence on synchronous behavior of two Hindmarsh-Rose neurons

  • Author

    Corinto, Fernando ; Ascoli, Alon ; Lanza, Valentina ; Gilli, Marco

  • Author_Institution
    Dept. of Electron., Politec. di Torino, Torino, Italy
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    2403
  • Lastpage
    2408
  • Abstract
    Besides being at the basis of next-generation ultra-dense non-volatile memories, a nanoscale memristor also has the potential to reproduce the behavior of a biological synapse. As in a living creature the weight of a synapse is adapted by the ionic flow through it, so the conductance of a memristor is adjusted by the flux across or the charge through it depending on its controlling source. In this manuscript we consider two Hindmarsh-Rose neurons, coupled via a memristive device mimicking a biological synapse. We investigate how the dynamics of the memristive element may influence the syncronization properties of the network.
  • Keywords
    biomedical electronics; memristors; random-access storage; Hindmarsh-Rose neurons; biological synapse; ionic flow; living creature; memristive device; memristor synaptic dynamics; nanoscale memristor; next-generation ultradense nonvolatile memories; synchronous behavior; syncronization property; Couplings; Mathematical model; Memristors; Neurons; Steady-state; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2011 International Joint Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4244-9635-8
  • Type

    conf

  • DOI
    10.1109/IJCNN.2011.6033530
  • Filename
    6033530