Literature DB >> 11916509

A transduction model of the Meissner corpuscle.

Sliman Bensmaïa1.   

Abstract

I propose a transduction model of the Meissner corpuscle that integrates ideas put forth by Freeman and Johnson and results obtained by Looft. The principal development in the present model is its specification that RA receptor potentials are updated as a linear function of stimulus velocity above baseline; the model thus readily accommodates non-sinusoidal input. It also incorporates modifications to Freeman and Johnson's model proposed by Slavík and Bell, namely a period of refractoriness lasting 1 ms followed by a period of hyperexcitability lasting 13.5 ms. The model is applied to various psychophysical and physiological situations: psychophysical threshold vs. frequency, RA afferent impulse rates vs. intensity, impulse regularity vs. frequency, phase retardation vs. frequency, and responses to non-repeating noise and to complex stimuli. Model output closely matches psychophysical and neurophysiological data. The proposed model thus reliably predicts RA afferent responses to arbitrary stimuli and may facilitate the development of theories relating psychophysical phenomena to their underlying neural representations.

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Mesh:

Year:  2002        PMID: 11916509     DOI: 10.1016/s0025-5564(02)00089-5

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  11 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.  Conveying tactile feedback in sensorized hand neuroprostheses using a biofidelic model of mechanotransduction.

Authors:  A P Sripati; R J Vogelstein; R S Armiger; A F Russell; S J Bensmaia
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2009-12       Impact factor: 3.833

4.  Artificial SA-I, RA-I and RA-II/vibrotactile afferents for tactile sensing of texture.

Authors:  Nicholas Pestell; Nathan F Lepora
Journal:  J R Soc Interface       Date:  2022-04-06       Impact factor: 4.118

5.  Artificial SA-I and RA-I afferents for tactile sensing of ridges and gratings.

Authors:  Nicholas Pestell; Thom Griffith; Nathan F Lepora
Journal:  J R Soc Interface       Date:  2022-04-06       Impact factor: 4.118

6.  A continuum mechanical model of mechanoreceptive afferent responses to indented spatial patterns.

Authors:  Arun P Sripati; Sliman J Bensmaia; Kenneth O Johnson
Journal:  J Neurophysiol       Date:  2006-02-15       Impact factor: 2.714

7.  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

8.  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

9.  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

10.  Force sensor in simulated skin and neural model mimic tactile SAI afferent spiking response to ramp and hold stimuli.

Authors:  Elmer K Kim; Scott A Wellnitz; Sarah M Bourdon; Ellen A Lumpkin; Gregory J Gerling
Journal:  J Neuroeng Rehabil       Date:  2012-07-23       Impact factor: 4.262

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