Human reaching control in dynamic environments
Closed-loop models of movement control have attracted growing interest in how the nervous
system transforms sensory information into motor commands, and several brain structures …
system transforms sensory information into motor commands, and several brain structures …
Modeling the role of sensory feedback in speech motor control and learning
B Parrell, J Houde - Journal of Speech, Language, and Hearing Research, 2019 - ASHA
Purpose While the speech motor system is sensitive to feedback perturbations, sensory
feedback does not seem to be critical to speech motor production. How the speech motor …
feedback does not seem to be critical to speech motor production. How the speech motor …
An extended challenge-based framework for practice design in sports coaching
The challenge-point framework as a model for thinking about motor learning was first
proposed in 2004. Although it has been well-cited, surprisingly this framework has not made …
proposed in 2004. Although it has been well-cited, surprisingly this framework has not made …
[HTML][HTML] Somatosensory cortex plays an essential role in forelimb motor adaptation in mice
Our motor outputs are constantly re-calibrated to adapt to systematic perturbations. This
motor adaptation is thought to depend on the ability to form a memory of a systematic …
motor adaptation is thought to depend on the ability to form a memory of a systematic …
Competition between parallel sensorimotor learning systems
Sensorimotor learning is supported by at least two parallel systems: a strategic process that
benefits from explicit knowledge and an implicit process that adapts subconsciously. How do …
benefits from explicit knowledge and an implicit process that adapts subconsciously. How do …
Climbing fibers provide essential instructive signals for associative learning
Supervised learning depends on instructive signals that shape the output of neural circuits to
support learned changes in behavior. Climbing fiber (CF) inputs to the cerebellar cortex …
support learned changes in behavior. Climbing fiber (CF) inputs to the cerebellar cortex …
An implicit memory of errors limits human sensorimotor adaptation
During extended motor adaptation, learning appears to saturate despite persistence of
residual errors. This adaptation limit is not fixed but varies with perturbation variance; when …
residual errors. This adaptation limit is not fixed but varies with perturbation variance; when …
Postural control of arm and fingers through integration of movement commands
Every movement ends in a period of stillness. Current models assume that commands that
hold the limb at a target location do not depend on the commands that moved the limb to that …
hold the limb at a target location do not depend on the commands that moved the limb to that …
Increasing muscle co-contraction speeds up internal model acquisition during dynamic motor learning
During reaching movements in the presence of novel dynamics, participants initially co-
contract their muscles to reduce kinematic errors and improve task performance. As learning …
contract their muscles to reduce kinematic errors and improve task performance. As learning …
Did we get sensorimotor adaptation wrong? Implicit adaptation as direct policy updating rather than forward-model-based learning
The human motor system can rapidly adapt its motor output in response to errors. The
prevailing theory of this process posits that the motor system adapts an internal forward …
prevailing theory of this process posits that the motor system adapts an internal forward …