Bioinspired multisensory neural network with crossmodal integration and recognition

Human-like robotic sensing aims at extracting and processing complicated environmental information via multisensory integration and interaction. Tan et al. report an artificial spiking multisensory neural network that integrates five primary senses and mimics the crossmodal perception of biological...

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Autores principales:	Hongwei Tan, Yifan Zhou, Quanzheng Tao, Johanna Rosen, Sebastiaan van Dijken
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/33b53e961f3a4c1cbaa5c197ff94f1e8
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spelling	oai:doaj.org-article:33b53e961f3a4c1cbaa5c197ff94f1e82021-12-02T14:21:20ZBioinspired multisensory neural network with crossmodal integration and recognition10.1038/s41467-021-21404-z2041-1723https://doaj.org/article/33b53e961f3a4c1cbaa5c197ff94f1e82021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21404-zhttps://doaj.org/toc/2041-1723Human-like robotic sensing aims at extracting and processing complicated environmental information via multisensory integration and interaction. Tan et al. report an artificial spiking multisensory neural network that integrates five primary senses and mimics the crossmodal perception of biological brains.Hongwei TanYifan ZhouQuanzheng TaoJohanna RosenSebastiaan van DijkenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Hongwei Tan Yifan Zhou Quanzheng Tao Johanna Rosen Sebastiaan van Dijken Bioinspired multisensory neural network with crossmodal integration and recognition
description	Human-like robotic sensing aims at extracting and processing complicated environmental information via multisensory integration and interaction. Tan et al. report an artificial spiking multisensory neural network that integrates five primary senses and mimics the crossmodal perception of biological brains.
format	article
author	Hongwei Tan Yifan Zhou Quanzheng Tao Johanna Rosen Sebastiaan van Dijken
author_facet	Hongwei Tan Yifan Zhou Quanzheng Tao Johanna Rosen Sebastiaan van Dijken
author_sort	Hongwei Tan
title	Bioinspired multisensory neural network with crossmodal integration and recognition
title_short	Bioinspired multisensory neural network with crossmodal integration and recognition
title_full	Bioinspired multisensory neural network with crossmodal integration and recognition
title_fullStr	Bioinspired multisensory neural network with crossmodal integration and recognition
title_full_unstemmed	Bioinspired multisensory neural network with crossmodal integration and recognition
title_sort	bioinspired multisensory neural network with crossmodal integration and recognition
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/33b53e961f3a4c1cbaa5c197ff94f1e8
work_keys_str_mv	AT hongweitan bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition AT yifanzhou bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition AT quanzhengtao bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition AT johannarosen bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition AT sebastiaanvandijken bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition
_version_	1718391540114522112

Bioinspired multisensory neural network with crossmodal integration and recognition

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