TY - JOUR
T1 - Human sensorimotor learning
T2 - Adaptation, skill, and beyond
AU - Krakauer, John W.
AU - Mazzoni, Pietro
N1 - Funding Information:
Support was provided by NIH grant R01NS052804 to JWK, and grants from the Gatsby Initiative in Brain Circuitry and the Parkinson's Disease Foundation to PM. We thank Adrian Haith, Vincent Huang, Britne Shabbott, Reza Shadmehr, and Lior Shmuelof for helpful comments on this manuscript.
PY - 2011/8
Y1 - 2011/8
N2 - Recent studies of upper limb movements have provided insights into the computations, mechanisms, and taxonomy of human sensorimotor learning. Motor tasks differ with respect to how they weight different learning processes. These include adaptation, an internal-model based process that reduces sensory-prediction errors in order to return performance to pre-perturbation levels, use-dependent plasticity, and operant reinforcement. Visuomotor rotation and force-field tasks impose systematic errors and thereby emphasize adaptation. In skill learning tasks, which for the most part do not involve a perturbation, improved performance is manifest as reduced motor variability and probably depends less on adaptation and more on success-based exploration. Explicit awareness and declarative memory contribute, to varying degrees, to motor learning. The modularity of motor learning processes maps, at least to some extent, onto distinct brain structures.
AB - Recent studies of upper limb movements have provided insights into the computations, mechanisms, and taxonomy of human sensorimotor learning. Motor tasks differ with respect to how they weight different learning processes. These include adaptation, an internal-model based process that reduces sensory-prediction errors in order to return performance to pre-perturbation levels, use-dependent plasticity, and operant reinforcement. Visuomotor rotation and force-field tasks impose systematic errors and thereby emphasize adaptation. In skill learning tasks, which for the most part do not involve a perturbation, improved performance is manifest as reduced motor variability and probably depends less on adaptation and more on success-based exploration. Explicit awareness and declarative memory contribute, to varying degrees, to motor learning. The modularity of motor learning processes maps, at least to some extent, onto distinct brain structures.
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U2 - 10.1016/j.conb.2011.06.012
DO - 10.1016/j.conb.2011.06.012
M3 - Review article
C2 - 21764294
AN - SCOPUS:80052935497
SN - 0959-4388
VL - 21
SP - 636
EP - 644
JO - Current Opinion in Neurobiology
JF - Current Opinion in Neurobiology
IS - 4
ER -