Literature DB >> 8725645

Response of monkey glabrous skin mechanoreceptors to random noise sequences: II. Dynamic stimulus state analysis.

F J Looft1.   

Abstract

The responses of monkey glabrous skin slowly adapting (SAI, Merkel cell), rapidly adapting (RA, Meissner) and Pacinian corpuscle (PC) mechanoreceptors were analyzed as a function of the instantaneous position, velocity, and acceleration of a dynamic stimulus. For these experiments, a vibrotactile punctate stimulator was driven by a non-repeating-noise sequence. The resulting data (sampled stimulus waveform, windowed impulse) were processed in several ways. Initially, input-output correlation analysis was implemented to generate spike-aligned averages of the stimulus waveform preceding and following impulse initiation. From this analysis, it was determined that dual-responding RA and PC afferents--that is, those afferents that responded to both indenting and extracting stimulus movements--universally responded in a nearly perfectly symmetrical manner to the stimulus. Subsequently, two-dimensional (position, velocity) state histograms were generated and used to assess mechanoreceptor dynamic stimulus sensitivities. From these state histograms, it was determined that the threshold for impulse initiation by SAI afferents was preferentially sensitive to the indentation position of the stimulus, with only a minor sensitivity to stimulus velocity. RA afferent thresholds were sensitive to a continuum of dynamic stimulus velocities and positions. At the extremes, RA afferent impulses could be initiated by either a highly indented, low-velocity stimulus or high-velocity stimulus with a limited indentation position. PC afferents appeared to be preferentially sensitive to a combination of stimulus velocity and acceleration, but the data-sampling interval was too coarse to adequately resolve the full range of dynamic stimulus sensitivities.

Mesh:

Year:  1996        PMID: 8725645     DOI: 10.3109/08990229609028908

Source DB:  PubMed          Journal:  Somatosens Mot Res        ISSN: 0899-0220            Impact factor:   1.111


  6 in total

1.  Tristate markov model for the firing statistics of rapidly-adapting mechanoreceptive fibers.

Authors:  Burak Güçlü; Stanley J Bolanowski
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

2.  A multi-timescale adaptive threshold model for the SAI tactile afferent to predict response to mechanical vibration.

Authors:  Anila F Jahangiri; Gregory J Gerling
Journal:  Int IEEE EMBS Conf Neural Eng       Date:  2011

3.  A Multivariate Logistical Model for Identifying the Compressive Sensitivity of Single Rat Tactile Receptors as Nanobiosensors.

Authors:  Sean S Kohles; Sam Bradshaw; Shelley S Mason; Fred J Looft
Journal:  J Nanotechnol Eng Med       Date:  2011-02-01

4.  Optimizing Populations of SAI Tactile Mechanoreceptors to Enable Activities of Daily Living.

Authors:  Isabelle I Rivest; Gregory J Gerling
Journal:  Proc Symp Haptic Interface Virtual Env Teleoperator Syst       Date:  2011-07-11

5.  Predicting the timing of spikes evoked by tactile stimulation of the hand.

Authors:  Sung Soo Kim; Arun P Sripati; Sliman J Bensmaia
Journal:  J Neurophysiol       Date:  2010-07-07       Impact factor: 2.714

6.  A simple model of mechanotransduction in primate glabrous skin.

Authors:  Yi Dong; Stefan Mihalas; Sung Soo Kim; Takashi Yoshioka; Sliman Bensmaia; Ernst Niebur
Journal:  J Neurophysiol       Date:  2012-12-12       Impact factor: 2.714

  6 in total

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