Zobrazeno 1 - 3
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pro vyhledávání: '"Denys R. B. Ly"'
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Spiking neural networks (SNNs) are a computational tool in which the information is coded into spikes, as in some parts of the brain, differently from conventional neural networks (NNs) that compute over real-numbers. Therefore, SNNs can implement in
Externí odkaz:
https://doaj.org/article/0dc34420ef59418d8faf9c670a01c42d
Autor:
Thomas Dalgaty, Melika Payvand, Filippo Moro, Denys R. B. Ly, Florian Pebay-Peyroula, Jerome Casas, Giacomo Indiveri, Elisa Vianello
Publikováno v:
APL Materials, Vol 7, Iss 8, Pp 081125-081125-12 (2019)
Recurrent neural networks are currently subject to intensive research efforts to solve temporal computing problems. Neuromorphic processors (NPs), composed of networked neuron and synapse circuit models, natively compute in time and offer an ultralow
Externí odkaz:
https://doaj.org/article/b467842f2b9e42fd976586eeca9d6a38
Autor:
Denys R. B. Ly, Xuanyao Fong
Publikováno v:
IEEE Transactions on Electron Devices. 69:6745-6750
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83a118cf8e5960431ed745f42de28f69
https://doi.org/10.1109/ted.2022.3217996
https://doi.org/10.1109/ted.2022.3217996