Neuronal synapse as a memristor: Modeling pair- and triplet-based STDP rule

Research output: Contribution to journalResearch articleContributedpeer-review

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.

Details

Original languageEnglish
Article number6840862
Pages (from-to)87-95
Number of pages9
JournalIEEE transactions on biomedical circuits and systems
Volume9
Issue number1
Publication statusPublished - 1 Feb 2015
Peer-reviewedYes

External IDs

PubMed 24960611
ORCID /0000-0001-7436-0103/work/172566306

Keywords

Keywords

  • Memristor, neuromorphic system, spike-timing-dependent plasticity (STDP)