Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike...
Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks
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Publisher
Switzerland: MDPI AG
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English
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Publisher
Switzerland: MDPI AG
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This paper investigates the performance of deep convolutional spiking neural networks (DCSNNs) trained using spike-based backpropagation techniques. Specifically, the study examined temporal spike sequence learning via backpropagation (TSSL-BP) and surrogate gradient descent via backpropagation (SGD-BP) as effective techniques for training DCSNNs o...
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Full title
Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_78af2869665e4390914641bb90c4abe6
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_78af2869665e4390914641bb90c4abe6
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ISSN
2072-666X
E-ISSN
2072-666X
DOI
10.3390/mi14071353
