Literature DB >> 2051193

Human tactile pattern recognition: active versus passive touch, velocity effects, and patterns of confusion.

F Vega-Bermudez1, K O Johnson, S S Hsiao.   

Abstract

1. Subjects without any previous experience in a tactile psychophysics task participated in a study of tactile letter recognition employing active and passive touch. In the active task, subjects reached through a curtain and examined embossed letters with horizontal, unidirectional finger strokes. In the passive task, subjects sat with their arms and hands immobilized while a rotating drum stimulator pressed the embossed letters onto the right index finger. The stimulus conditions in the passive task were identical to those used in neurophysiological experiments with monkeys. 2. A survey of 40 naive subjects who were not screened in any way showed a wide range of performance levels. There was no difference between the subjects in the active and passive tasks, either in overall mean percent correct scores, which were 49.0 and 50.7%, respectively or in the percent correct scores for individual letters whose product-moment correlation coefficient was 0.94. The active and passive groups, which contained 25 and 15 members, respectively, had no members in common. 3. Videotapes of the finger movements of eight subjects in the active task showed a characteristic V-shaped velocity profile (velocity vs. lateral position) starting at approximately 100 mm/s at the left-hand edge of the plate containing the embossed letter, decelerating to a minimum when the center of the finger was directly over the letter, and then accelerating away from the letter. The average minimum scanning velocity was 17 mm/s. 4. Scanning velocity had no significant effect on performance in the passive task between 20 and 40 mm/s. An increase to 80 mm/s produced a 16% decline in percent correct identifications. 5. Learning effects were evident across sessions even though subjects were given no feedback or training. The increase in mean percent correct judgments averaged 4% per session, which lasted for approximately 1 h. 6. Data from 64 subjects were pooled for detailed comparison of identification patterns in active and passive touch. The results were analyzed and found to be consistent with the hypothesis that the identification and confusion probabilities are identical in the two modes. We conclude that there is no difference between active and passive touch in form recognition when the stimulus pattern is smaller than a finger pad. 7. Data from all experiments were pooled to produce a single confusion matrix with 324 presentations per letter. The majority of erroneous responses are grouped in a small number of confusion pairs and the majority of those confusion pairs are strongly asymmetric. The probable neural mechanisms of some confusion patterns are discussed.

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Year:  1991        PMID: 2051193     DOI: 10.1152/jn.1991.65.3.531

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  34 in total

1.  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

2.  Human touch receptors are sensitive to spatial details on the scale of single fingerprint ridges.

Authors:  Ewa Jarocka; J Andrew Pruszynski; Roland S Johansson
Journal:  J Neurosci       Date:  2021-03-15       Impact factor: 6.167

3.  Haptic discrimination of two-dimensional angles: influence of exploratory strategy.

Authors:  Myriam Levy; Stéphanie Bourgeon; C Elaine Chapman
Journal:  Exp Brain Res       Date:  2006-10-19       Impact factor: 1.972

4.  Factors affecting the haptic filled-space illusion for dynamic touch.

Authors:  Abram F J Sanders; Astrid M L Kappers
Journal:  Exp Brain Res       Date:  2008-11-12       Impact factor: 1.972

5.  Multiple parietal operculum subdivisions in humans: tactile activation maps.

Authors:  Harold Burton; Robert J Sinclair; Jason R Wingert; Donna L Dierker
Journal:  Somatosens Mot Res       Date:  2008-09       Impact factor: 1.111

6.  Velocity invariance of receptive field structure in somatosensory cortical area 3b of the alert monkey.

Authors:  J J DiCarlo; K O Johnson
Journal:  J Neurosci       Date:  1999-01-01       Impact factor: 6.167

7.  Structure of receptive fields in area 3b of primary somatosensory cortex in the alert monkey.

Authors:  J J DiCarlo; K O Johnson; S S Hsiao
Journal:  J Neurosci       Date:  1998-04-01       Impact factor: 6.167

8.  Neural Coding of Contact Events in Somatosensory Cortex.

Authors:  Thierri Callier; Aneesha K Suresh; Sliman J Bensmaia
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

9.  Tactile sensory abilities in cerebral palsy: deficits in roughness and object discrimination.

Authors:  Jason R Wingert; Harold Burton; Robert J Sinclair; Janice E Brunstrom; Diane L Damiano
Journal:  Dev Med Child Neurol       Date:  2008-09-20       Impact factor: 5.449

10.  Neural coding of passive lump detection in compliant artificial tissue.

Authors:  James C Gwilliam; Takashi Yoshioka; Allison M Okamura; Steven S Hsiao
Journal:  J Neurophysiol       Date:  2014-05-07       Impact factor: 2.714

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