Literature DB >> 10212429

Mechanisms of fine-surface-texture discrimination in human tactile sensation.

T Miyaoka1, T Mano, M Ohka.   

Abstract

The purpose of this study was to evaluate the ability of touch to discriminate fine-surface textures and to suggest possible mechanisms of the discriminations. Two experiments were performed. In experiment 1, aluminum-oxide abrasive papers were adopted as stimuli, and psychometric functions and difference thresholds were determined in fine-surface-texture discrimination tasks. The grit values of abrasive papers were 400, 600, 1200, 2000, 3000, 4000, and 8000; corresponding average particle sizes were 40, 30, 12, 9, 5, 3, and 1 micron, respectively. Ten subjects participated in experiment 1. The difference thresholds obtained in experiment 1 were between 2.4 and 3.3 microns. In experiment 2, the tasks were discriminations of ridge height. The cross sections of the etched ridges were rectangular and the ridge heights were 6.3, 7.0, 8.6, 10.8, 12.3, 18.5, and 25.0 microns. Six subjects participated in experiment 2. The difference thresholds in experiment 2 were between 0.95 and 2.0 microns. It was reasoned, based on the Weber fraction values calculated from the difference thresholds and on the limit of neural information-processing ability of humans, that the subjects discriminate fine roughness only from the amplitude information presented in surface unevenness.

Entities:  

Mesh:

Year:  1999        PMID: 10212429     DOI: 10.1121/1.426852

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  13 in total

1.  Tactile dominance in speeded discrimination of textures.

Authors:  Steve Guest; Charles Spence
Journal:  Exp Brain Res       Date:  2003-04-05       Impact factor: 1.972

2.  The vibrations of texture.

Authors:  Sliman J BensmaIa; Mark Hollins
Journal:  Somatosens Mot Res       Date:  2003       Impact factor: 1.111

3.  Surface texture can bias tactile form perception.

Authors:  Masashi Nakatani; Robert D Howe; Susumu Tachi
Journal:  Exp Brain Res       Date:  2010-10-28       Impact factor: 1.972

4.  The neural code for tactile roughness in the somatosensory nerves.

Authors:  Justin D Lieber; Xinyue Xia; Alison I Weber; Sliman J Bensmaia
Journal:  J Neurophysiol       Date:  2017-08-30       Impact factor: 2.714

5.  Representations of microgeometric tactile information during object recognition.

Authors:  Kazuhiko Yasaka; Tomoki Mori; Masahiro Yamaguchi; Hideto Kaba
Journal:  Cogn Process       Date:  2018-11-16

6.  Decoding Accuracy in Supplementary Motor Cortex Correlates with Perceptual Sensitivity to Tactile Roughness.

Authors:  Junsuk Kim; Yoon Gi Chung; Jang-Yeon Park; Soon-Cheol Chung; Christian Wallraven; Heinrich H Bülthoff; Sung-Phil Kim
Journal:  PLoS One       Date:  2015-06-11       Impact factor: 3.240

7.  Shared neural representations of tactile roughness intensities by somatosensation and touch observation using an associative learning method.

Authors:  Junsuk Kim; Isabelle Bülthoff; Sung-Phil Kim; Heinrich H Bülthoff
Journal:  Sci Rep       Date:  2019-01-11       Impact factor: 4.379

8.  Liquid crystal-on-organic field-effect transistor sensory devices for perceptive sensing of ultralow intensity gas flow touch.

Authors:  Jooyeok Seo; Soohyeong Park; Sungho Nam; Hwajeong Kim; Youngkyoo Kim
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

9.  Feeling small: exploring the tactile perception limits.

Authors:  Lisa Skedung; Martin Arvidsson; Jun Young Chung; Christopher M Stafford; Birgitta Berglund; Mark W Rutland
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

Review 10.  The Minnesota Haptic Function Test.

Authors:  Jessica Holst-Wolf; Yu-Ting Tseng; Jürgen Konczak
Journal:  Front Psychol       Date:  2019-04-17
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