Literature DB >> 12417680

Neural coding of the location and direction of a moving object by a spatially distributed population of mechanoreceptors.

Robert M Friedman1, Partap S Khalsa, Kenneth W Greenquist, Robert H LaMotte.   

Abstract

A neural code for the location and direction of an object moving over the fingerpad was constructed from the responses of a population of rapidly adapting type I (RAs) and slowly adapting type I (SAs) mechanoreceptive nerve fibers. The object was either a sphere with a radius of 5 mm or a toroid with radii of 5 mm on the major axis and either 1 or 3 mm on the minor axis. The object was stroked under constant velocity and contact force along eight different linear trajectories. The spatial locations of the centers of activity of the population responses (PLs) were determined from nonsimultaneously recorded responses of 99 RAs and 97 SAs with receptive fields spatially distributed over the fingerpad of the anesthetized monkey. The PL at each moment during each stroke was used as a neural code of object location. The angle between the direction of the trajectory of the PL and mediolateral axis was used to represent the direction of motion of the object. The location of contact between the object and skin was better represented in SA than in RA PLs, regardless of stroke direction or object curvature. The PL representation of stroke direction was linearly related to the actual direction of the object for both RAs and SAs but was less variable for SAs than for RAs. Both the SA and RA populations coded spatial position and direction of motion at acuities similar to those obtained in psychophysical studies in humans.

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Mesh:

Year:  2002        PMID: 12417680      PMCID: PMC6758035     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  7 in total

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

2.  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

Review 3.  Skin and Mechanoreceptor Contribution to Tactile Input for Perception: A Review of Simulation Models.

Authors:  Davide Deflorio; Massimiliano Di Luca; Alan M Wing
Journal:  Front Hum Neurosci       Date:  2022-06-02       Impact factor: 3.473

Review 4.  The neural basis of tactile motion perception.

Authors:  Yu-Cheng Pei; Sliman J Bensmaia
Journal:  J Neurophysiol       Date:  2014-09-24       Impact factor: 2.714

5.  Discriminability of multiple cutaneous and proprioceptive hand percepts evoked by intraneural stimulation with Utah slanted electrode arrays in human amputees.

Authors:  David M Page; Jacob A George; Suzanne M Wendelken; Tyler S Davis; David T Kluger; Douglas T Hutchinson; Gregory A Clark
Journal:  J Neuroeng Rehabil       Date:  2021-01-21       Impact factor: 4.262

6.  Fast and accurate edge orientation processing during object manipulation.

Authors:  J Andrew Pruszynski; J Randall Flanagan; Roland S Johansson
Journal:  Elife       Date:  2018-04-03       Impact factor: 8.140

7.  Neural network models of the tactile system develop first-order units with spatially complex receptive fields.

Authors:  Charlie W Zhao; Mark J Daley; J Andrew Pruszynski
Journal:  PLoS One       Date:  2018-06-14       Impact factor: 3.240

  7 in total

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