SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training

SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training

Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power event-driven neuromorphic hardware due to their spatio-temporal information processing capability and high biological plausibility. Although SNNs are currently more efficient than artificial neural networks (ANNs),...

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Bibliographic Details
Main Authors: Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Tao Yang, Li Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural network
gradient descent backpropagation
neuromorphic computing
spike-time-dependent plasticity
deep learning
efficient training
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.756876/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.756876/full

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