Literature DB >> 24427218

Responses of cutaneous mechanoreceptors within fingerpad to stimulus information for tactile softness sensation of materials.

Jiyong Hu1, Qun Zhao2, Ruitao Jiang2, Rubin Wang3, Xin Ding1.   

Abstract

Softness sensation is one of primitive tactile textures. While the psychophysical characteristics of softness sensation have been thoroughly studied, it is lack of a deep understanding of the underlying neuromechanical principles. On the stimulus-response processes of human fingerpad touching fabrics and the physiological properties of slowly adapting type I (SAIs) cutaneous mechanoreceptors within fingerpad, a fabric-skin-receptor coupling model was built and validated. By the fabric-skin-receptor model a series of numerical experiments was conducted, and how the evoked neural responses of cutaneous mechanoreceptors change with the composite compliance of both fingerpad skin and the materials in contact was investigated. The results indicated that the evoked neural responses of populations of cutaneous mechanoreceptors by the physical stimulus from fabrics were nearly proportional to the perceived softness magnitude, and nonlinearly increased and then decreased with the effective elastic modulus of fabrics or the relative elastic modulus of fabrics to soft tissues within fingerpad, where the nonlinear inflection point depended on the touching force level. Therefore, it concluded that the tactile judgment of the physical information for softness sensation of objects was an encoding of neural responses of populations of SAIs cutaneous mechanoreceptors, and the physical information depended on the mechanical interaction of fingerpad and objects in contact.

Entities:  

Keywords:  Elastic modulus; Mechanoreceptors; Neuromechanics; Softness; Tactile

Year:  2013        PMID: 24427218      PMCID: PMC3773325          DOI: 10.1007/s11571-013-9246-0

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  18 in total

1.  Two mechanisms for transducer adaptation in vertebrate hair cells.

Authors:  J R Holt; D P Corey
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Authors:  Kenneth O Johnson; Steven S Hsiao; Takashi Yoshioka
Journal:  Neuroscientist       Date:  2002-04       Impact factor: 7.519

3.  Modeling population responses of rapidly-adapting mechanoreceptive fibers.

Authors:  Burak Güçlü; Stanley J Bolanowski
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4.  Functional model of biological neural networks.

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Authors:  Hu Jiyong; Li Yi; Ding Xin; Hu Junyan
Journal:  Cogn Neurodyn       Date:  2010-12-01       Impact factor: 5.082

Review 6.  Tactile intensity and population codes.

Authors:  Sliman J Bensmaia
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7.  Tactile sensibility in the human hand: relative and absolute densities of four types of mechanoreceptive units in glabrous skin.

Authors:  R S Johansson; A B Vallbo
Journal:  J Physiol       Date:  1979-01       Impact factor: 5.182

8.  Discrimination and memory experiments on haptic perception of softness.

Authors:  Jia Liu; Aiguo Song
Journal:  Percept Mot Skills       Date:  2008-02

9.  Tactual discrimination of softness.

Authors:  M A Srinivasan; R H LaMotte
Journal:  J Neurophysiol       Date:  1995-01       Impact factor: 2.714

10.  Voltage-clamp studies of transient inward current and mechanical oscillations induced by ouabain in ferret papillary muscle.

Authors:  H S Karagueuzian; B G Katzung
Journal:  J Physiol       Date:  1982-06       Impact factor: 5.182

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  1 in total

1.  A flexible artificial intrinsic-synaptic tactile sensory organ.

Authors:  Yu Rim Lee; Tran Quang Trung; Byeong-Ung Hwang; Nae-Eung Lee
Journal:  Nat Commun       Date:  2020-06-02       Impact factor: 14.919

  1 in total

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