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Distinct learning, retention, and generalization patterns in de novo learning versus motor adaptation
People correct for movement errors when acquiring new motor skills (de novo learning) or
adapting well-known movements (motor adaptation). While de novo learning establishes …
adapting well-known movements (motor adaptation). While de novo learning establishes …
Perturbation variability does not influence implicit sensorimotor adaptation
Implicit adaptation has been regarded as a rigid process that automatically operates in
response to movement errors to keep the sensorimotor system precisely calibrated. This …
response to movement errors to keep the sensorimotor system precisely calibrated. This …
Sensorimotor environment but not task rule reconfigures population dynamics in rhesus monkey posterior parietal cortex
H Guo, S Kuang, A Gail - Nature Communications, 2025 - nature.com
Primates excel at map** sensory inputs flexibly onto motor outcomes. We asked if the
neural dynamics to support context-sensitive sensorimotor map** generalizes or differs …
neural dynamics to support context-sensitive sensorimotor map** generalizes or differs …
A cerebellar population coding model for sensorimotor learning
The cerebellum is crucial for sensorimotor adaptation, using error information to keep the
sensorimotor system well-calibrated. Here we introduce a population-coding model to …
sensorimotor system well-calibrated. Here we introduce a population-coding model to …
Relating Human Error–Based Learning to Modern Deep RL Algorithms
In human error–based learning, the size and direction of a scalar error (ie, the “directed
error”) are used to update future actions. Modern deep reinforcement learning (RL) methods …
error”) are used to update future actions. Modern deep reinforcement learning (RL) methods …
Distinct learning, retention, and generalization in de novo learning
People correct for movement errors when acquiring new motor skills (de novo learning) or
adapting well-known movements (motor adaptation). These two motor learning types should …
adapting well-known movements (motor adaptation). These two motor learning types should …
The effect of perturbation variability on sensorimotor adaptation does not require an implicit memory of errors
In a recent paper entitled,“An implicit memory of errors limits human sensorimotor
adaptation” Albert and colleagues presented a model in which the adaptive response of the …
adaptation” Albert and colleagues presented a model in which the adaptive response of the …
What deep reinforcement learning tells us about human motor learning and vice-versa
M Garibbo, C Ludwig, N Lepora, L Aitchison - ar** us to understand neural decision making processes. However, RL's …
Generalization in motor learning: learning bimanual coordination with one hand
The ability to coordinate movements between the hands is crucial for many daily tasks.
However, the precise mechanisms governing the storage and utilization of bimanual …
However, the precise mechanisms governing the storage and utilization of bimanual …
Effects of Different Feedback Conditions on Sensorimotor Adaptation Revealed in a Mirror Reversal Paradigm
Humans are able to overcome sensory perturbations imposed on their movements through
motor learning. One of the key mechanisms to accomplish this is sensorimotor adaptation …
motor learning. One of the key mechanisms to accomplish this is sensorimotor adaptation …