Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors

Abstract 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...

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Autores principales:	Adel Parvizi-Fard, Nima Salimi-Nezhad, Mahmood Amiri, Egidio Falotico, Cecilia Laschi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b547cbd157af4d59977816bc46b487c6
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spelling	oai:doaj.org-article:b547cbd157af4d59977816bc46b487c62021-12-02T13:50:41ZSharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors10.1038/s41598-021-81199-32045-2322https://doaj.org/article/b547cbd157af4d59977816bc46b487c62021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81199-3https://doaj.org/toc/2045-2322Abstract 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.Adel Parvizi-FardNima Salimi-NezhadMahmood AmiriEgidio FaloticoCecilia LaschiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Adel Parvizi-Fard Nima Salimi-Nezhad Mahmood Amiri Egidio Falotico Cecilia Laschi Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors
description	Abstract 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	article
author	Adel Parvizi-Fard Nima Salimi-Nezhad Mahmood Amiri Egidio Falotico Cecilia Laschi
author_facet	Adel Parvizi-Fard Nima Salimi-Nezhad Mahmood Amiri Egidio Falotico Cecilia Laschi
author_sort	Adel Parvizi-Fard
title	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_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_sort	sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b547cbd157af4d59977816bc46b487c6
work_keys_str_mv	AT adelparvizifard sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors AT nimasaliminezhad sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors AT mahmoodamiri sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors AT egidiofalotico sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors AT cecilialaschi sharpnessrecognitionbasedonsynergybetweenbioinspirednociceptorsandtactilemechanoreceptors
_version_	1718392460271419392

Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors

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