A digital neuromorphic realization of pair-based and triplet-based spike-timing-dependent synaptic plasticity
Date
2018
Authors
Nouri, M.
Jalilian, M.
Hayati, M.
Abbott, D.
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Journal article
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IEEE Transactions on Circuits and Systems, Part 2: Express Briefs, 2018; 65(6):804-808
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Moslem Nouri, Maisam Jalilian, Mohsen Hayati, Derek Abbott
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Abstract
Spike timing dependent plasticity is one of the synaptic plasticity rules that plays a key role in brain learning. This brief presents a set of piecewise linear approximations in order to produce a digital neuromorphic realization of the pair-based and triplet-based spike timing dependent plasticity rules. The proposed models are validated by simulation and an field-programmable gate array implementation demonstrates how the proposed approximations can alter synaptic weights according to the timing differences between a set of different patterns of spikes.
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© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.