Literature DB >> 33483529

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

Adel Parvizi-Fard1, Nima Salimi-Nezhad1, Mahmood Amiri2, Egidio Falotico3,4, Cecilia Laschi3,4,5.   

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.

Entities:  

Year:  2021        PMID: 33483529     DOI: 10.1038/s41598-021-81199-3

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  28 in total

Review 1.  Nociceptors: the sensors of the pain pathway.

Authors:  Adrienne E Dubin; Ardem Patapoutian
Journal:  J Clin Invest       Date:  2010-11-01       Impact factor: 14.808

Review 2.  Coding and use of tactile signals from the fingertips in object manipulation tasks.

Authors:  Roland S Johansson; J Randall Flanagan
Journal:  Nat Rev Neurosci       Date:  2009-04-08       Impact factor: 34.870

3.  Stretchable and foldable silicon integrated circuits.

Authors:  Dae-Hyeong Kim; Jong-Hyun Ahn; Won Mook Choi; Hoon-Sik Kim; Tae-Ho Kim; Jizhou Song; Yonggang Y Huang; Zhuangjian Liu; Chun Lu; John A Rogers
Journal:  Science       Date:  2008-03-27       Impact factor: 47.728

4.  Simulating tactile signals from the whole hand with millisecond precision.

Authors:  Hannes P Saal; Benoit P Delhaye; Brandon C Rayhaun; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

5.  Edge-orientation processing in first-order tactile neurons.

Authors:  J Andrew Pruszynski; Roland S Johansson
Journal:  Nat Neurosci       Date:  2014-08-31       Impact factor: 24.884

6.  Highly stretchable electroluminescent skin for optical signaling and tactile sensing.

Authors:  C Larson; B Peele; S Li; S Robinson; M Totaro; L Beccai; B Mazzolai; R Shepherd
Journal:  Science       Date:  2016-03-03       Impact factor: 47.728

7.  Properties of cutaneous mechanoreceptors in the human hand related to touch sensation.

Authors:  A B Vallbo; R S Johansson
Journal:  Hum Neurobiol       Date:  1984

8.  The role of fingerprints in the coding of tactile information probed with a biomimetic sensor.

Authors:  J Scheibert; S Leurent; A Prevost; G Debrégeas
Journal:  Science       Date:  2009-01-29       Impact factor: 47.728

Review 9.  The sensory neurons of touch.

Authors:  Victoria E Abraira; David D Ginty
Journal:  Neuron       Date:  2013-08-21       Impact factor: 17.173

10.  Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans.

Authors:  Calogero Maria Oddo; Stanisa Raspopovic; Fiorenzo Artoni; Alberto Mazzoni; Giacomo Spigler; Francesco Petrini; Federica Giambattistelli; Fabrizio Vecchio; Francesca Miraglia; Loredana Zollo; Giovanni Di Pino; Domenico Camboni; Maria Chiara Carrozza; Eugenio Guglielmelli; Paolo Maria Rossini; Ugo Faraguna; Silvestro Micera
Journal:  Elife       Date:  2016-03-08       Impact factor: 8.140

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  1 in total

1.  Nonlinear Tactile Estimation Model Based on Perceptibility of Mechanoreceptors Improves Quantitative Tactile Sensing.

Authors:  Momoko Sagara; Lisako Nobuyama; Kenjiro Takemura
Journal:  Sensors (Basel)       Date:  2022-09-04       Impact factor: 3.847

  1 in total

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