Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Parvizi-Fard, Adel, Salimi-Nezhad, Nima, Amiri, Mahmood, Falotico, Egidio, Laschi, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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
_version_ 1783639710655053824
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
work_keys_str_mv AT parvizifardadel sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors
AT saliminezhadnima sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors
AT amirimahmood sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors
AT faloticoegidio sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors
AT laschicecilia sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors