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|Title:||A digital neuromorphic realization of pair-based and triplet-based spike-timing-dependent synaptic plasticity|
|Citation:||IEEE Transactions on Circuits and Systems II: Express Briefs, 2018; 65(6):804-808|
|Moslem Nouri, Maisam Jalilian, Mohsen Hayati, Derek Abbott|
|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.|
|Keywords:||Piecewise linear approximation; field programmable gate array (FPGA); spiking neural network (SNN); synaptic learning rule; pair-based spike-timing-dependent synaptic plasticity (PSTDP); triplet-based spike-timing-dependent synaptic plasticity (TSTDP)|
|Rights:||© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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