Sensorimotor predictions and tool use: Hand-held tools attenuate self-touch
Sensorimotor predictions and tool use: Hand-held tools attenuate self-touch
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DOI：
10.1016/j.cognition.2017.04.005
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发表时间：
2017-08-01
期刊：
影响因子：
3.4
通讯作者：
Ehrsson, H. Henrik
中科院分区：
文献类型：
--
作者：
Kilteni, Konstantina;Ehrsson, H. Henrik
人类生存需要快速准确的移动，无论是否使用工具。为了克服感觉运动延迟和噪音，大脑使用内部前向模型来预测动作的感觉后果。在这里，我们调查了这些感官预测是否计算类似的行动，涉及手持工具和自然的手部运动。我们假设，当用一只手触摸另一只手时观察到的触摸的预测衰减也将被观察到用于用手持工具施加的触摸。我们首先表明，当触摸施加到左手食指与右手食指，感知力的感觉衰减，只有当手指对齐的方式，模拟直接的物理接触，而不是当一个距离为25厘米的手之间引入。然后，我们表明，触摸施加到左手食指与工具举行的右手在25厘米的距离产生全面的感觉衰减，类似于直接的手指到手指的接触。最后，我们表明，只有当工具的尖端与接收左食指对齐时，触摸才会衰减，而不是当尖端放置在25 cm的距离处时。总的来说，这些结果表明，使用工具和自然肢体运动共享相同的计算机制的感官预测。我们认为大脑使用效应器独立的前向模型：触摸是基于当前效应器的预期位置来预测的（即，工具的尖端）而不是本体部分本身。(C)2017年，作者。由爱思唯尔公司出版
Human survival requires quick and accurate movements, both with and without tools. To overcome the sensorimotor delays and noise, the brain uses internal forward models to predict the sensory consequences of an action. Here, we investigated whether these sensory predictions are computed similarly for actions involving hand-held tools and natural hand movements. We hypothesized that the predictive attenuation of touch observed when touching one hand with the other would also be observed for touches applied with a hand-held tool. We first show that when touch is applied to the left index finger with the right index finger, the perceived force sensation is attenuated, only when the fingers are aligned in a manner that simulates direct physical contact and not when a distance of 25 cm is introduced between the hands. We then show that touch applied to the left index finger with a tool held in the right hand at a distance of 25 cm produces full sensory attenuation, similar to direct finger-to-finger contact. Finally, we show that touch is attenuated only when the tip of the tool is aligned with the receiving left index finger and not when the tip is placed at a distance of 25 cm. Collectively, these results suggest that tool use and natural limb movements share the same computational mechanism for sensory predictions. We submit that the brain uses effector-independent forward models: touch is predicted based on the anticipated position of the current effector (i.e., the tip of the tool) rather than the body part per se. (C) 2017 The Authors. Published by Elsevier B.V.