Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential

Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential

This study proposes voltage-dependent-synaptic plasticity (VDSP), a novel brain-inspired unsupervised local learning rule for the online implementation of Hebb’s plasticity mechanism on neuromorphic hardware. The proposed VDSP learning rule updates the synaptic conductance on the spike of the postsy...

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Bibliographic Details
Main Authors: Nikhil Garg, Ismael Balafrej, Terrence C. Stewart, Jean-Michel Portal, Marc Bocquet, Damien Querlioz, Dominique Drouin, Jean Rouat, Yann Beilliard, Fabien Alibart
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural networks
Hebbian plasticity
STDP
unsupervised learning
synaptic plasticity
modified national institute of standards and technology database (MNIST)
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.983950/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.983950/full

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