Zobrazeno 1 - 10
of 26
pro vyhledávání: '"neuromorphic benchmark"'
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
A major characteristic of spiking neural networks (SNNs) over conventional artificial neural networks (ANNs) is their ability to spike, enabling them to use spike timing for coding and efficient computing. In this paper, we assess if neuromorphic dat
Externí odkaz:
https://doaj.org/article/9276624060a24249a15c354c6a561ba9
Publikováno v:
Cognitive Neurodynamics; Oct2024, Vol. 18 Issue 5, p3075-3091, 17p
Akademický článek
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Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2021)
Frontiers in Neuroscience, Vol 15 (2021)
A major characteristic of spiking neural networks (SNNs) over conventional artificial neural networks (ANNs) is their ability to spike, enabling them to use spike timing for coding and efficient computing. In this paper, we assess if neuromorphic dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d55dd980620e3eecb6f3c931378a2c20
Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System.
Autor:
Chen, Guang1,2, Cao, Hu3, Aafaque, Muhammad2, Chen, Jieneng4, Ye, Canbo1, Röhrbein, Florian2, Conradt, Jörg5, Chen, Kai1, Bing, Zhenshan2, Liu, Xingbo1, Hinz, Gereon2, Stechele, Walter6, Knoll, Alois2
Publikováno v:
Journal of Advanced Transportation. 12/2/18, p1-13. 13p.
Spiking Neural Networks~(SNNs) are a promising research paradigm for low power edge-based computing. Recent works in SNN backpropagation has enabled training of SNNs for practical tasks. However, since spikes are binary events in time, standard loss
Externí odkaz:
http://arxiv.org/abs/2205.09845
The information of spiking neural networks (SNNs) are propagated between the adjacent biological neuron by spikes, which provides a computing paradigm with the promise of simulating the human brain. Recent studies have found that the time delay of ne
Externí odkaz:
http://arxiv.org/abs/2205.02115
Autor:
Kutluyarov, Ruslan V., Zakoyan, Aida G., Voronkov, Grigory S., Grakhova, Elizaveta P., Butt, Muhammad A.
Publikováno v:
Nanomaterials (2079-4991); Dec2023, Vol. 13 Issue 24, p3139, 36p
Publikováno v:
IEEE Micro; Nov/Dec2022, Vol. 42 Issue 6, p88-95, 8p
Autor:
Milde, Moritz B., Afshar, Saeed, Xu, Ying, Marcireau, Alexandre, Joubert, Damien, Ramesh, Bharath, Bethi, Yeshwanth, Ralph, Nicholas O., El Arja, Sami, Dennler, Nik, van Schaik, André, Cohen, Gregory
Publikováno v:
Frontiers in Neuroscience; 2/14/2022, Vol. 16, p1-16, 16p