Heterogeneous recurrent spiking neural network for spatio-temporal classification

Spiking Neural Networks are often touted as brain-inspired learning models for the third wave of Artificial Intelligence. Although recent SNNs trained with supervised backpropagation show classification accuracy comparable to deep networks, the performance of unsupervised learning-based SNNs remains...

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Bibliographic Details

Published in:	Frontiers in Neuroscience
Main Authors:	Biswadeep Chakraborty, Saibal Mukhopadhyay
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-01-01
Subjects:	spiking neural network (SNN) action detection and recognition spike timing dependent plasticity heterogeneity unsupervised learning Bayesian Optimization (BO)
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.994517/full