Modeling triplet spike-timing-dependent plasticity using memristive devices

Journal Publication ResearchOnline@JCU
Aghnout, Soraya;Karimi, Gholamreza;Rahimiazghadi, Mostafa
Abstract

Triplet-based spike-timing-dependent plasticity (TSTDP) is an advanced synaptic plasticity rule that results in improved learning capability compared to the conventional pair-based STDP (PSTDP). The TSTDP rule can reproduce the results of many electrophysiological experiments, where the PSTDP fails. This paper proposes a novel memristive circuit that implements the TSTDP rule. The proposed circuit is designed using three voltage (flux)-driven memristors. Simulation results demonstrate that our memristive circuit induces synaptic weight changes that arise due to the timing differences among pairs and triplets of spikes. The presented memristive design is an initial step toward developing asynchronous TSTDP learning architectures using memristive devices. These architectures may facilitate the implementation of advanced large-scale neuromorphic systems with applications in real-world engineering tasks such as pattern classification.

Journal

Journal of Computational Electronics

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Volume

16

ISBN/ISSN

1572-8137

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Issue

2

Pages Count

10

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Publisher

Springer

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Publisher Location

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Publish Date

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Date

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EISSN

N/A

DOI

10.1007/s10825-017-0972-0