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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Bibliographic Details
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
Description
Summary: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.
ISSN:2041-1723