Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits

Hardware implementation of spiking neural networks holds promise for high energy efficient brain-inspired computing. Here, Prezioso et al. realize the detection of synchrony in a demo circuit composed of 20 metal-oxide memristor synapses connected to a leaky-integrate-and-fire silicon neuron.

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Autores principales:	M. Prezioso, M. R. Mahmoodi, F. Merrikh Bayat, H. Nili, H. Kim, A. Vincent, D. B. Strukov
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f5a2989a3d83440c9f152432cf481ea8
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spelling	oai:doaj.org-article:f5a2989a3d83440c9f152432cf481ea82021-12-02T15:34:08ZSpike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits10.1038/s41467-018-07757-y2041-1723https://doaj.org/article/f5a2989a3d83440c9f152432cf481ea82018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07757-yhttps://doaj.org/toc/2041-1723Hardware implementation of spiking neural networks holds promise for high energy efficient brain-inspired computing. Here, Prezioso et al. realize the detection of synchrony in a demo circuit composed of 20 metal-oxide memristor synapses connected to a leaky-integrate-and-fire silicon neuron.M. PreziosoM. R. MahmoodiF. Merrikh BayatH. NiliH. KimA. VincentD. B. StrukovNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q M. Prezioso M. R. Mahmoodi F. Merrikh Bayat H. Nili H. Kim A. Vincent D. B. Strukov Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
description	Hardware implementation of spiking neural networks holds promise for high energy efficient brain-inspired computing. Here, Prezioso et al. realize the detection of synchrony in a demo circuit composed of 20 metal-oxide memristor synapses connected to a leaky-integrate-and-fire silicon neuron.
format	article
author	M. Prezioso M. R. Mahmoodi F. Merrikh Bayat H. Nili H. Kim A. Vincent D. B. Strukov
author_facet	M. Prezioso M. R. Mahmoodi F. Merrikh Bayat H. Nili H. Kim A. Vincent D. B. Strukov
author_sort	M. Prezioso
title	Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
title_short	Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
title_full	Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
title_fullStr	Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
title_full_unstemmed	Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
title_sort	spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/f5a2989a3d83440c9f152432cf481ea8
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Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits

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