Journal of Neurophysiology, 74(4), 1787–1792.ĭonchin, O., Rabe, K., Diedrichsen, J., Lally, N., Schoch, B., Gizewski, E. Motor adaptation to Coriolis force perturbations of reaching movements: Endpoint but not trajectory adaptation transfers to the nonexposed arm. Learned dynamics of reaching movements generalize from dominant to nondominant arm. Perceptual and Motor Skills, 37(2), 599–609.Ĭriscimagna-Hemminger, S. Visual feedback, distribution of practice, and intermanual transfer of prism aftereffects. Continuous versus terminal visual feedback in prism aftereffects.
Journal of Experimental Psychology, 102(6), 1076.Ĭohen, M. Variables affecting the intermanual transfer and decay of prism adaptation. Degree of handedness affects intermanual transfer of skill learning. New visuomotor maps are immediately available to the opposite limb. Motor memory is encoded as a gain-field combination of intrinsic and extrinsic action representations. Estimating the sources of motor errors for adaptation and generalization. Motor learning of novel dynamics is not represented in a single global coordinate system: Evaluation of mixed coordinate representations and local learning. Journal of Neurophysiology, 106(2), 860–871.īerniker, M., Franklin, D. Prism adaptation and generalization during visually guided locomotor tasks. The study also suggests that distinct movement characteristics may be related to different coordinate frames of action representations in the nervous system.Īlexander, M.
Overall, these findings on unconstrained movements support the idea that individual movement features could be linked to the sensorimotor adaptation and its generalization. Motor variability was also positively correlated with the magnitude of the after-effect systematically observed on the dominant arm. Low peak acceleration and low variability were related to extrinsic transfer, while high peak acceleration and high variability were related to intrinsic transfer. Simple and multiple regression analyses showed that a few kinematic parameters such as peak acceleration (or peak velocity) and variability of movement direction were correlated with interlimb transfer. For some other participants, transfer was consistent with an intrinsic coordinate system. Interlimb transfer resulted for some participants in a directional shift of non-dominant arm movements that was consistent with an encoding of visuomotor adaptation in extrinsic coordinates.
Classic adaptation and generalization across movement directions were observed but transfer to the non-dominant arm was not significant and inter-individual differences were substantial.
Twenty healthy adults adapted to prismatic glasses while reaching to visual targets with their dominant arm. Here we tested the general hypothesis that differences across participants can be exploited to uncover what drives interlimb transfer. However, how sensorimotor adaptation generalizes to new situations and new effectors, and which factors influence the underlying mechanisms, remains unclear. The human nervous system displays such plasticity that we can adapt our motor behavior to various changes in environmental or body properties.