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

机译:触觉敏感性阈值:Pacinian小体的非线性随机机械传导模型。

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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.
机译:基于最近在Pacinian小体(PC)接受区域中拉伸和电压激活的离子通道的发现,本文描述了一个两阶段的机械传导模型,其阈值振动触觉(VT)灵敏度在10 Hz至几kHz范围内有效。该模型基于表示为具有膜阻抗的相关电荷源的离子通道的非线性和随机行为。它借助自适应弛豫脉冲频率调制器,考虑了受体电位和动作电位的形态和统计特性,模拟了PC的神经反应。该模型还模拟峰值速率特性的平稳和非单调饱和。基于机械噪声和神经噪声的随机模拟表明,较高频率下的VT灵敏度阈值(VTST)与噪声的相关性更大。高于800 Hz时,甚至SNR = 150也会使神经生理性VTST改善超过3dBμ。在该频率范围内,没有夹带阈值和绝对阈值附近的较低灵敏度指数使心理物理VTST的上限更加依赖于实验方案和物理设置。该模型可以扩展为模拟一组PC的神经反应。

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