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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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 |
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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 |
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