A Memristive Model Compatible with Triplet Rule for Spike-Timing-Dependent-Plasticity
Weiran Cai, Ronald Tetzlaff, and Frank Ellinger

TL;DR
This paper introduces an extended memristive model compatible with both pair-based and triplet STDP rules, enhancing neuromorphic synaptic plasticity modeling through adaptive thresholds and differential equations.
Contribution
It presents a novel memristive model that incorporates triplet STDP compatibility, extending previous pair-based models with adaptive mechanisms.
Findings
Model explains both pair-based and triplet STDP rules
Uses differential equations for synaptic dynamics
Aligns with Froemke's suppression principle
Abstract
In this paper, we propose an extended version of the memristive STDP model, which is one of the most important and exciting recent discoveries in neuromorphic engineering. The proposed model aims to claim compatibility with another importent STDP rule beyond the pair-based rule, known as the triplet STDP rule. This is an extension of the asynchronous memristive model of Linares-Barranco, et al., capable of explaining the pair-based rule based on the analogy of the synapse to the memristor. The proposed new model is compatible with both the pair-baed and triplet-based rule, by assuming a mechanism of variable thresholds adapting to synaptic potentiation and depression. The dynamical process is governed by ordinary differential equations. The model is an expression of Froemke's principle of suppression for triplet rules and reveals a similar time dependence with that in the suppression…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neural dynamics and brain function · Neuroscience and Neural Engineering
