• DocumentCode
    62968
  • Title

    Neuronal Synapse as a Memristor: Modeling Pair- and Triplet-Based STDP Rule

  • Author

    Weiran Cai ; Ellinger, F. ; Tetzlaff, Ronald

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Dresden Univ. of Technol., Dresden, Germany
  • Volume
    9
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    87
  • Lastpage
    95
  • Abstract
    We propose a new memristive model for the neuronal synapse based on the spike-timing-dependent plasticity (STDP) protocol, considering both long-term and short-term plasticity in the synapse. Higher-order behavior is modeled by a memristor with adaptive thresholds, which realizes the well-established suppression principle of Froemke. We assume a mechanism of variable thresholds adapting to synaptic potentiation (LTP) and depression (LTD), which reproduces the refractory time in the weight modification. The corresponding dynamical process is governed by a set of ordinary differential equations. Interestingly, the Froemke´s model and our memristive model, based on two completely different mechanisms, are found to be quantitatively equivalent for the `pre-post-pre´ case and `post-pre-post´ case. A relation of the adaptive thresholds to short-term plasticity is addressed.
  • Keywords
    adaptive systems; brain models; differential equations; memristors; neural nets; neurophysiology; Froemke model; Froemke suppression principle; LTD; LTP; STDP protocol; adaptive memristor threshold; dynamical process; higher-order behavior modeling; long-term synaptic plasticity; memristive model; neuronal synapse; ordinary differential equation; pair-based STDP rule modeling; post-pre-post case; pre-post-pre case; quantitatively equivalent; refractory time; short-term synaptic plasticity; spike-timing-dependent plasticity protocol; synaptic depression adaptation; synaptic potentiation adaptation; triplet-based STDP rule modeling; variable threshold mechanism; weight modification; Adaptation models; Biological system modeling; Integrated circuit modeling; Memristors; Nerve fibers; Protocols; Memristor; neuromorphic system; spike-timing-dependent plasticity (STDP);
  • fLanguage
    English
  • Journal_Title
    Biomedical Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1932-4545
  • Type

    jour

  • DOI
    10.1109/TBCAS.2014.2318012
  • Filename
    6840862