Contains fulltext : 230178.pdf (Publisher’s version ) (Closed access)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 variance is high, residual errors become larger. These changes in total adaptation could relate to either implicit or explicit learning systems. Here, we found that when adaptation relied solely on the explicit system, residual errors disappeared and learning was unaltered by perturbation variability. In contrast, when learning depended entirely, or in part, on implicit learning, residual errors reappeared. Total implicit adaptation decreased in the high-variance environment d...
Even when provided with feedback after every movement, adaptation levels off before biases are compl...
Sensorimotor learning is supported by at least two parallel systems: A strategic process that benefi...
Error based motor learning can be driven by both sensory prediction error and reward prediction erro...
Implicit sensorimotor adaptation is traditionally described as a process of error reduction, whereby...
There is debate about how implicit and explicit processes interact in sensorimotor adaptation, impli...
The motor system demonstrates an exquisite ability to adapt to changes in the environment and to qui...
The motor system demonstrates an exquisite ability to adapt to changes in the environment and to qui...
When movements are perturbed in adaptation tasks, humans and other animals show incomplete compensat...
Visuomotor adaptation has been thought to be an implicit process that results when a sensory-predict...
Traditional views of sensorimotor adaptation (i.e., adaptation of movements to perturbed sensory fee...
Sensorimotor adaptation has traditionally been viewed as a purely error-based process. There is, how...
Contains fulltext : 150720.pdf (publisher's version ) (Open Access)Even when provi...
Even when provided with feedback after every movement, adaptation levels off before biases are compl...
It has been suggested that sensorimotor adaptation involves at least two processes (i.e., fast and s...
In sensorimotor adaptation, explicit cognitive strategies are thought to be unnecessary because the ...
Even when provided with feedback after every movement, adaptation levels off before biases are compl...
Sensorimotor learning is supported by at least two parallel systems: A strategic process that benefi...
Error based motor learning can be driven by both sensory prediction error and reward prediction erro...
Implicit sensorimotor adaptation is traditionally described as a process of error reduction, whereby...
There is debate about how implicit and explicit processes interact in sensorimotor adaptation, impli...
The motor system demonstrates an exquisite ability to adapt to changes in the environment and to qui...
The motor system demonstrates an exquisite ability to adapt to changes in the environment and to qui...
When movements are perturbed in adaptation tasks, humans and other animals show incomplete compensat...
Visuomotor adaptation has been thought to be an implicit process that results when a sensory-predict...
Traditional views of sensorimotor adaptation (i.e., adaptation of movements to perturbed sensory fee...
Sensorimotor adaptation has traditionally been viewed as a purely error-based process. There is, how...
Contains fulltext : 150720.pdf (publisher's version ) (Open Access)Even when provi...
Even when provided with feedback after every movement, adaptation levels off before biases are compl...
It has been suggested that sensorimotor adaptation involves at least two processes (i.e., fast and s...
In sensorimotor adaptation, explicit cognitive strategies are thought to be unnecessary because the ...
Even when provided with feedback after every movement, adaptation levels off before biases are compl...
Sensorimotor learning is supported by at least two parallel systems: A strategic process that benefi...
Error based motor learning can be driven by both sensory prediction error and reward prediction erro...