Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic pr...
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Mixed-signal analog/digital circuits emulate spiking neurons and synapses with extremely high energy efficiency, an approach known as "neuromorphic engineering". However, analog circuits are sensitive to process-induced variation among transistors in a chip ("device mismatch"). For neuromorphic implementation of Spiking Neural Networks (SNNs), mism...
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Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
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TN_cdi_proquest_journals_2489445885
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2489445885
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2102.06408
