Separating neural influences from peripheral mechanics: the speed-curvature relation in mechanically constrained actions
Author(s) -
James Hermus,
Joseph A. Doeringer,
Dagmar Sternad,
Neville Hogan
Publication year - 2020
Publication title -
journal of neurophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 245
eISSN - 1522-1598
pISSN - 0022-3077
DOI - 10.1152/jn.00536.2019
Subject(s) - kinematics , curvature , computer science , biomechanics , trajectory , control theory (sociology) , motor control , physics , artificial intelligence , geometry , classical mechanics , mathematics , neuroscience , control (management) , psychology , astronomy , thermodynamics
Physically interacting with kinematic constraints is commonplace in everyday actions. We report a study of humans turning a crank, a circular constraint that imposes constant hand path curvature and hence should suppress variations of hand speed due to the power-law speed-curvature relation widely reported for unconstrained motions. Remarkably, we found that, when peripheral biomechanical factors are removed, a speed-curvature relation reemerges, indicating that it is, at least in part, of neural origin.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom