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Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors
Touch and pain sensations are complementary aspects of daily life that convey crucial information about the environment while also providing protection to our body. Technological advancements in prosthesis design and control mechanisms assist amputees to regain lost function but often they have no m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822817/ https://www.ncbi.nlm.nih.gov/pubmed/33483529 http://dx.doi.org/10.1038/s41598-021-81199-3 |
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author | Parvizi-Fard, Adel Salimi-Nezhad, Nima Amiri, Mahmood Falotico, Egidio Laschi, Cecilia |
author_facet | Parvizi-Fard, Adel Salimi-Nezhad, Nima Amiri, Mahmood Falotico, Egidio Laschi, Cecilia |
author_sort | Parvizi-Fard, Adel |
collection | PubMed |
description | Touch and pain sensations are complementary aspects of daily life that convey crucial information about the environment while also providing protection to our body. Technological advancements in prosthesis design and control mechanisms assist amputees to regain lost function but often they have no meaningful tactile feedback or perception. In the present study, we propose a bio-inspired tactile system with a population of 23 digital afferents: 12 RA-I, 6 SA-I, and 5 nociceptors. Indeed, the functional concept of the nociceptor is implemented on the FPGA for the first time. One of the main features of biological tactile afferents is that their distal axon branches in the skin, creating complex receptive fields. Given these physiological observations, the bio-inspired afferents are randomly connected to the several neighboring mechanoreceptors with different weights to form their own receptive field. To test the performance of the proposed neuromorphic chip in sharpness detection, a robotic system with three-degree of freedom equipped with the tactile sensor indents the 3D-printed objects. Spike responses of the biomimetic afferents are then collected for analysis by rate and temporal coding algorithms. In this way, the impact of the innervation mechanism and collaboration of afferents and nociceptors on sharpness recognition are investigated. Our findings suggest that the synergy between sensory afferents and nociceptors conveys more information about tactile stimuli which in turn leads to the robustness of the proposed neuromorphic system against damage to the taxels or afferents. Moreover, it is illustrated that spiking activity of the biomimetic nociceptors is amplified as the sharpness increases which can be considered as a feedback mechanism for prosthesis protection. This neuromorphic approach advances the development of prosthesis to include the sensory feedback and to distinguish innocuous (non-painful) and noxious (painful) stimuli. |
format | Online Article Text |
id | pubmed-7822817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78228172021-01-26 Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors Parvizi-Fard, Adel Salimi-Nezhad, Nima Amiri, Mahmood Falotico, Egidio Laschi, Cecilia Sci Rep Article Touch and pain sensations are complementary aspects of daily life that convey crucial information about the environment while also providing protection to our body. Technological advancements in prosthesis design and control mechanisms assist amputees to regain lost function but often they have no meaningful tactile feedback or perception. In the present study, we propose a bio-inspired tactile system with a population of 23 digital afferents: 12 RA-I, 6 SA-I, and 5 nociceptors. Indeed, the functional concept of the nociceptor is implemented on the FPGA for the first time. One of the main features of biological tactile afferents is that their distal axon branches in the skin, creating complex receptive fields. Given these physiological observations, the bio-inspired afferents are randomly connected to the several neighboring mechanoreceptors with different weights to form their own receptive field. To test the performance of the proposed neuromorphic chip in sharpness detection, a robotic system with three-degree of freedom equipped with the tactile sensor indents the 3D-printed objects. Spike responses of the biomimetic afferents are then collected for analysis by rate and temporal coding algorithms. In this way, the impact of the innervation mechanism and collaboration of afferents and nociceptors on sharpness recognition are investigated. Our findings suggest that the synergy between sensory afferents and nociceptors conveys more information about tactile stimuli which in turn leads to the robustness of the proposed neuromorphic system against damage to the taxels or afferents. Moreover, it is illustrated that spiking activity of the biomimetic nociceptors is amplified as the sharpness increases which can be considered as a feedback mechanism for prosthesis protection. This neuromorphic approach advances the development of prosthesis to include the sensory feedback and to distinguish innocuous (non-painful) and noxious (painful) stimuli. Nature Publishing Group UK 2021-01-22 /pmc/articles/PMC7822817/ /pubmed/33483529 http://dx.doi.org/10.1038/s41598-021-81199-3 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Parvizi-Fard, Adel Salimi-Nezhad, Nima Amiri, Mahmood Falotico, Egidio Laschi, Cecilia Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors |
title | Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors |
title_full | Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors |
title_fullStr | Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors |
title_full_unstemmed | Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors |
title_short | Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors |
title_sort | sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822817/ https://www.ncbi.nlm.nih.gov/pubmed/33483529 http://dx.doi.org/10.1038/s41598-021-81199-3 |
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