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ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing

In this work, we propose ReStoCNet, a residual stochastic multilayer convolutional Spiking Neural Network (SNN) composed of binary kernels, to reduce the synaptic memory footprint and enhance the computational efficiency of SNNs for complex pattern recognition tasks. ReStoCNet consists of an input l...

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Bibliografiske detaljer
Udgivet i:Front Neurosci
Main Authors: Srinivasan, Gopalakrishnan, Roy, Kaushik
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2019
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6434391/
https://ncbi.nlm.nih.gov/pubmed/30941003
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00189
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