Cargando…

Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves

The integration and cooperation of mechanoreceptors, neurons and synapses in somatosensory systems enable humans to efficiently sense and process tactile information. Inspired by biological somatosensory systems, we report an optoelectronic spiking afferent nerve with neural coding, perceptual learn...

Descripción completa

Detalles Bibliográficos
Autores principales: Tan, Hongwei, Tao, Quanzheng, Pande, Ishan, Majumdar, Sayani, Liu, Fu, Zhou, Yifan, Persson, Per O. Å., Rosen, Johanna, van Dijken, Sebastiaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070032/
https://www.ncbi.nlm.nih.gov/pubmed/32170075
http://dx.doi.org/10.1038/s41467-020-15105-2
_version_ 1783505892904271872
author Tan, Hongwei
Tao, Quanzheng
Pande, Ishan
Majumdar, Sayani
Liu, Fu
Zhou, Yifan
Persson, Per O. Å.
Rosen, Johanna
van Dijken, Sebastiaan
author_facet Tan, Hongwei
Tao, Quanzheng
Pande, Ishan
Majumdar, Sayani
Liu, Fu
Zhou, Yifan
Persson, Per O. Å.
Rosen, Johanna
van Dijken, Sebastiaan
author_sort Tan, Hongwei
collection PubMed
description The integration and cooperation of mechanoreceptors, neurons and synapses in somatosensory systems enable humans to efficiently sense and process tactile information. Inspired by biological somatosensory systems, we report an optoelectronic spiking afferent nerve with neural coding, perceptual learning and memorizing capabilities to mimic tactile sensing and processing. Our system senses pressure by MXene-based sensors, converts pressure information to light pulses by coupling light-emitting diodes to analog-to-digital circuits, then integrates light pulses using a synaptic photomemristor. With neural coding, our spiking nerve is capable of not only detecting simultaneous pressure inputs, but also recognizing Morse code, braille, and object movement. Furthermore, with dimensionality-reduced feature extraction and learning, our system can recognize and memorize handwritten alphabets and words, providing a promising approach towards e-skin, neurorobotics and human-machine interaction technologies.
format Online
Article
Text
id pubmed-7070032
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-70700322020-03-18 Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves Tan, Hongwei Tao, Quanzheng Pande, Ishan Majumdar, Sayani Liu, Fu Zhou, Yifan Persson, Per O. Å. Rosen, Johanna van Dijken, Sebastiaan Nat Commun Article The integration and cooperation of mechanoreceptors, neurons and synapses in somatosensory systems enable humans to efficiently sense and process tactile information. Inspired by biological somatosensory systems, we report an optoelectronic spiking afferent nerve with neural coding, perceptual learning and memorizing capabilities to mimic tactile sensing and processing. Our system senses pressure by MXene-based sensors, converts pressure information to light pulses by coupling light-emitting diodes to analog-to-digital circuits, then integrates light pulses using a synaptic photomemristor. With neural coding, our spiking nerve is capable of not only detecting simultaneous pressure inputs, but also recognizing Morse code, braille, and object movement. Furthermore, with dimensionality-reduced feature extraction and learning, our system can recognize and memorize handwritten alphabets and words, providing a promising approach towards e-skin, neurorobotics and human-machine interaction technologies. Nature Publishing Group UK 2020-03-13 /pmc/articles/PMC7070032/ /pubmed/32170075 http://dx.doi.org/10.1038/s41467-020-15105-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Tan, Hongwei
Tao, Quanzheng
Pande, Ishan
Majumdar, Sayani
Liu, Fu
Zhou, Yifan
Persson, Per O. Å.
Rosen, Johanna
van Dijken, Sebastiaan
Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
title Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
title_full Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
title_fullStr Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
title_full_unstemmed Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
title_short Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
title_sort tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070032/
https://www.ncbi.nlm.nih.gov/pubmed/32170075
http://dx.doi.org/10.1038/s41467-020-15105-2
work_keys_str_mv AT tanhongwei tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves
AT taoquanzheng tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves
AT pandeishan tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves
AT majumdarsayani tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves
AT liufu tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves
AT zhouyifan tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves
AT perssonperoa tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves
AT rosenjohanna tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves
AT vandijkensebastiaan tactilesensorycodingandlearningwithbioinspiredoptoelectronicspikingafferentnerves