• DocumentCode
    36260
  • Title

    Vibrotactile Sensitivity Threshold: Nonlinear Stochastic Mechanotransduction Model of the Pacinian Corpuscle

  • Author

    Biswas, Abhijit ; Manivannan, M. ; Srinivasan, Mandayam A.

  • Author_Institution
    Dept. of Appl. Mech., Biomed. Res. Group, Touch Lab., IIT Madras, Chennai, India
  • Volume
    8
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan.-March 1 2015
  • Firstpage
    102
  • Lastpage
    113
  • Abstract
    Based on recent discoveries of stretch and voltage activated ion channels in the receptive area of the Pacinian Corpuscle (PC), this paper describes a two-stage mechanotransduction model of its near threshold Vibrotactile (VT) sensitivity valid over 10 Hz to a few kHz. The model is based on the nonlinear and stochastic behavior of the ion channels represented as dependent charge sources loaded with membrane impedance. It simulates the neural response of the PC considering the morphological and statistical properties of the receptor potential and action potential with the help of an adaptive relaxation pulse frequency modulator. This model also simulates the plateaus and nonmonotonic saturation of spike rate characteristics. The stochastic simulation based on the addition of mechanical and neural noise describes that the VT Sensitivity Threshold (VTST) at higher frequencies is more noise dependent. Above 800 Hz even a SNR = 150 improves the neurophysiological VTST more than 3 dBμ. In that frequency range, an absence of the entrainment threshold and a lower sensitivity index near the absolute threshold make the upper bound of the psychophysical VTST more dependent on the experimental protocol and physical set-up. This model can be extended to simulate the neural response of a group of PCs.
  • Keywords
    bioelectric potentials; biomembrane transport; mechanoception; neurophysiology; stochastic processes; VT sensitivity threshold; action potential; adaptive relaxation pulse frequency modulator; charge sources; ion channels; mechanical noise; membrane impedance; morphological properties; neural noise; neural response; neurophysiological VTST; nonlinear stochastic mechanotransduction model; nonmonotonic saturation; pacinian corpuscle; sensitivity index; spike rate characteristics; statistical properties; two-stage mechanotransduction model; vibrotactile sensitivity threshold; Adaptation models; Electric potential; Extracellular; Frequency modulation; Generators; Sensitivity; Adaptive relaxation pulse frequency modulation; Ion channel dynamics; Neurophysiology; Receptor potential; adaptive relaxation pulse frequency modulation; ion channel dynamics; receptor potential;
  • fLanguage
    English
  • Journal_Title
    Haptics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1939-1412
  • Type

    jour

  • DOI
    10.1109/TOH.2014.2369422
  • Filename
    6953085