کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5041498 1474102 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sensorimotor predictions and tool use: Hand-held tools attenuate self-touch
ترجمه فارسی عنوان
پیش بینی سنسور موتور و استفاده از ابزار: دست ابزار کاهش تماس خود را
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
چکیده انگلیسی


- Self-generated touch feels weaker than external touch.
- The brain predicts and attenuates the sensory consequences of our actions.
- We found that the same predictive attenuation of touch applies to hand-held tools.
- In tool use, touch was attenuated to the same extent and under the same spatial rules.
- Touch is flexibly predicted from the state of the current effector (finger or tooltip).

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cognition - Volume 165, August 2017, Pages 1-9
نویسندگان
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