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Discriminating smooth from grooved surfaces: effects of random variations in skin penetration.

机译:从凹槽表面区分光滑:皮肤渗透的随机变化的影响。

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摘要

The ability to discriminate a smooth surface from a grooved one depends on several variables, including the width of the grooves and the force with which the skin is contacted. It has been hypothesized that this smooth-grooved discrimination with statically presented stimuli is based on intensity cues, namely, the overall difference in perceived intensity between the smooth and grooved surfaces. To test this hypothesis, the perceived intensities of test stimuli were varied on a trial-by-trial basis by varying the depth of penetration the contactor was allowed to travel into the skin. As compared to a control condition in which stimuli were presented with the same average penetration and contrary to the hypothesis, random variations in penetration produced no decline in smooth-grooved performance. The total amount of conformance was an accurate predictor of sensitivity across various penetrations and across two test sites (distal finger pad and finger base). It appears that subjects are making absolute rather than comparative judgments in the smooth-grooved task. A recently developed continuum mechanical model of the responses of first-order mechanoreceptive afferents to static stimuli provided both a good fit to the data and indicated what aspect of the peripheral neural image was relevant for discriminating smooth surfaces from grooved surfaces.
机译:区分光滑表面和带凹槽的表面的能力取决于几个变量,包括凹槽的宽度和皮肤接触的力。已经假设,这种带有静态呈现的刺激的平滑凹槽的判别是基于强度提示,即,平滑表面和凹槽表面之间感知强度的总体差异。为了检验该假设,通过改变允许接触器进入皮肤的渗透深度,在逐次试验的基础上改变了测试刺激的感知强度。与以相同的平均穿透力呈现刺激且与假设相反的对照条件相比,穿透力的随机变化不会导致平滑沟槽性能下降。一致性的总量可以准确预测各种穿透力和两个测试部位(远侧指垫和指根)的敏感性。看来,受试者在光滑的任务中做出的是绝对的而不是比较的判断。最近开发的一阶机械感受性传入感受器对静态刺激的响应的连续力学模型不仅很好地拟合了数据,而且还表明了周围神经图像的哪个方面与区分光滑表面和沟槽表面有关。

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