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
Link To Document :
بازگشت