Literature DB >> 9636122

Encoding of shape and orientation of objects indented into the monkey fingerpad by populations of slowly and rapidly adapting mechanoreceptors.

P S Khalsa1, R M Friedman, M A Srinivasan, R H Lamotte.   

Abstract

The peripheral neural representation of object shape and orientation was studied by recording the responses of a spatially distributed population of rapidly and slowly adapting type I mechanoreceptors (RAs and SAs, respectively) to objects of different shapes and orientations indented at a fixed location on the fingerpad of the anesthetized monkey. The toroidal objects had a radius of 5 mm on the major axis, and 1, 3, or 5 mm on the minor axis. Each object was indented into the fingerpad for 4 s at orientations of 0, 45, 90, and 135 degrees using a contact force of 15 gwt. Estimations of the population responses (PRs) were constructed by combining the responses of 91 SA and 97 RA single afferents at discrete times during the indentation. The PR was composed of the neural discharge rates (z coordinate) plotted at x and y coordinates of the most sensitive spot of the receptive field. The shapes of the PRs were related to the shapes of the objects by fitting the PRs with Gaussian surfaces. The orientations of the PRs were determined from weighted principal component analyses. The SA PR encoded both the orientation and shape of the objects, whereas the RA PR did neither. The SA PR orientation was biased toward the long axis of the finger. The RA PR encoded orientation only for the object with the highest curvature but did so ambiguously. Only the SA PR was well fit by a Gaussian surface. The shape of the object was discriminated by the SA PR within the first 500 ms of contact, and the form of the SA PR remained constant during the subsequent 3.5 s. This was manifested by constant widths of the PR along the major and minor axes despite a peak response that decreased from its maximum at 200 ms to an asymptotic value starting at 1 s. Thus the shape and orientation of each object were coded by the shape and orientation of the SA PR.

Mesh:

Year:  1998        PMID: 9636122     DOI: 10.1152/jn.1998.79.6.3238

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


  25 in total

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Authors:  J E Lewis; L Maler
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2.  Encoding of direction of fingertip forces by human tactile afferents.

Authors:  I Birznieks; P Jenmalm; A W Goodwin; R S Johansson
Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

3.  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

4.  Neurophysiology of prehension. III. Representation of object features in posterior parietal cortex of the macaque monkey.

Authors:  Esther P Gardner; K Srinivasa Babu; Soumya Ghosh; Adam Sherwood; Jessie Chen
Journal:  J Neurophysiol       Date:  2007-10-17       Impact factor: 2.714

5.  Encoding of tangential torque in responses of tactile afferent fibres innervating the fingerpad of the monkey.

Authors:  Ingvars Birznieks; Heather E Wheat; Stephen J Redmond; Lauren M Salo; Nigel H Lovell; Antony W Goodwin
Journal:  J Physiol       Date:  2010-02-08       Impact factor: 5.182

6.  Decoding tactile afferent activity to obtain an estimate of instantaneous force and torque applied to the fingerpad.

Authors:  Heba Khamis; Ingvars Birznieks; Stephen J Redmond
Journal:  J Neurophysiol       Date:  2015-05-06       Impact factor: 2.714

7.  Rapid geometric feature signaling in the simulated spiking activity of a complete population of tactile nerve fibers.

Authors:  Benoit P Delhaye; Xinyue Xia; Sliman J Bensmaia
Journal:  J Neurophysiol       Date:  2019-04-03       Impact factor: 2.714

8.  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

9.  Representation of tactile curvature in macaque somatosensory area 2.

Authors:  Jeffrey M Yau; Charles E Connor; Steven S Hsiao
Journal:  J Neurophysiol       Date:  2013-03-27       Impact factor: 2.714

10.  Magnitude estimation of softness.

Authors:  Robert M Friedman; Kim D Hester; Barry G Green; Robert H LaMotte
Journal:  Exp Brain Res       Date:  2008-08-05       Impact factor: 1.972

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