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Unexpected complexity of everyday manual behaviors

Biology

Unexpected complexity of everyday manual behaviors

Y. Yan, J. M. Goodman, et al.

Discover groundbreaking insights into the neural control of complex hand movements as researchers Yuke Yan, James M. Goodman, Dalton D. Moore, Sara A. Solla, and Sliman J. Bensmaia challenge existing theories. Their findings reveal that hand postures are not limited to a low-dimensional subspace but are instead structured in a high-dimensional space, showcasing the intricate volitional control during grasping and ASL signing.... show more
Abstract
How does the brain control an effector as complex and versatile as the hand? One possibility is that neural control is simplified by limiting the space of hand movements. Indeed, hand kinematics can be largely described within 8 to 10 dimensions. This oft replicated finding has been construed as evidence that hand postures are confined to this subspace. A prediction from this hypothesis is that dimensions outside of this subspace reflect noise. To address this question, we track the hand of human participants as they perform two tasks—grasping and signing in American Sign Language. We apply multiple dimension reduction techniques and replicate the finding that most postural variance falls within a reduced subspace. However, we show that dimensions outside of this subspace are highly structured and task dependent, suggesting they too are under volitional control. We propose that hand control occupies a higher dimensional space than previously considered.
Publisher
Nature Communications
Published On
Jul 16, 2020
Authors
Yuke Yan, James M. Goodman, Dalton D. Moore, Sara A. Solla, Sliman J. Bensmaia
Tags
neural control
hand movements
grasping
American Sign Language
high-dimensional space
volitional control
kinematics
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