Bioinspired multisensory neural network with crossmodal integration and recognition

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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Main Authors: Hongwei Tan, Yifan Zhou, Quanzheng Tao, Johanna Rosen, Sebastiaan van Dijken
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21404-z
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spelling doaj-33b53e961f3a4c1cbaa5c197ff94f1e82021-02-21T12:12:30ZengNature Publishing GroupNature Communications2041-17232021-02-011211910.1038/s41467-021-21404-zBioinspired multisensory neural network with crossmodal integration and recognitionHongwei Tan0Yifan Zhou1Quanzheng Tao2Johanna Rosen3Sebastiaan van Dijken4NanoSpin, Department of Applied Physics, Aalto University School of ScienceNanoSpin, Department of Applied Physics, Aalto University School of ScienceThin Film Physics, Department of Physics, Chemistry and Biology (IFM), Linköping UniversityThin Film Physics, Department of Physics, Chemistry and Biology (IFM), Linköping UniversityNanoSpin, Department of Applied Physics, Aalto University School of ScienceHuman-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.https://doi.org/10.1038/s41467-021-21404-z
collection DOAJ
language English
format Article
sources DOAJ
author Hongwei Tan
Yifan Zhou
Quanzheng Tao
Johanna Rosen
Sebastiaan van Dijken
spellingShingle Hongwei Tan
Yifan Zhou
Quanzheng Tao
Johanna Rosen
Sebastiaan van Dijken
Bioinspired multisensory neural network with crossmodal integration and recognition
Nature Communications
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 Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-02-01
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.
url https://doi.org/10.1038/s41467-021-21404-z
work_keys_str_mv AT hongweitan bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition
AT yifanzhou bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition
AT quanzhengtao bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition
AT johannarosen bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition
AT sebastiaanvandijken bioinspiredmultisensoryneuralnetworkwithcrossmodalintegrationandrecognition
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