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

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

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)9556-9566
Number of pages11
JournalJournal of Neuroscience
Volume22
Issue number21
DOIs
StatePublished - Nov 1 2002
Externally publishedYes

Keywords

  • Cutaneous afferent
  • Direction
  • Fingerpad
  • Location
  • Mechanoreceptor
  • Movement

ASJC Scopus subject areas

  • General Medicine

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