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人体解剖学袖套上知觉加工的多重分形特征。

Multifractal signatures of perceptual processing on anatomical sleeves of the human body.

机构信息

Department of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA.

Department of Psychology, University of Cincinnati, Cincinnati, OH 45219, USA.

出版信息

J R Soc Interface. 2020 Jul;17(168):20200328. doi: 10.1098/rsif.2020.0328. Epub 2020 Jul 15.

Abstract

Research into haptic perception typically concentrates on mechanoreceptors and their supporting neuronal processes. This focus risks ignoring crucial aspects of active perception. For instance, bodily movements influence the information available to mechanoreceptors, entailing that movement facilitates haptic perception. Effortful manual wielding of an object prompts feedback loops at multiple spatio-temporal scales, rippling outwards from the wielding hand to the feet, maintaining an upright posture and interweaving to produce a nonlinear web of fluctuations throughout the body. Here, we investigated whether and how this bodywide nonlinearity engenders a flow of multifractal fluctuations that could support perception of object properties via dynamic touch. Blindfolded participants manually wielded weighted dowels and reported judgements of heaviness and length. Mechanical fluctuations on the anatomical sleeves (i.e. peripheries of the body), from hand to the upper body, as well as to the postural centre of pressure, showed evidence of multifractality arising from nonlinear temporal correlations across scales. The modelling of impulse-response functions obtained from vector autoregressive analysis revealed that distinct sets of pairwise exchanges of multifractal fluctuations entailed accuracy in heaviness and length judgements. These results suggest that the accuracy of perception via dynamic touch hinges on specific flowing patterns of multifractal fluctuations that people wear on their anatomical sleeves.

摘要

触觉感知的研究通常集中在机械感受器及其支持的神经元过程上。这种关注有忽视主动感知关键方面的风险。例如,身体运动影响机械感受器可获得的信息,这意味着运动有助于触觉感知。费力地手动挥舞物体,会在多个时空尺度上引发反馈回路,从挥舞的手向外扩展到脚,保持直立姿势,并交织在一起,在整个身体中产生非线性波动网络。在这里,我们研究了这种全身非线性是否以及如何产生多分数波动流,通过动态触觉支持对物体属性的感知。蒙住眼睛的参与者手动挥舞加重的短棒,并报告对重量和长度的判断。从手到手部以上,以及姿势中心压力的解剖学袖套(即身体的外围)上的机械波动显示出多分数性的证据,这是由于跨尺度的非线性时间相关性产生的。从向量自回归分析中获得的脉冲响应函数的建模表明,多分数波动的不同对交换集涉及到对重量和长度判断的准确性。这些结果表明,通过动态触觉的感知准确性取决于人们在解剖学袖套上佩戴的特定多分数波动的流动模式。

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