[PDF][PDF] Motor learning
Motor learning encompasses a wide range of phenomena, ranging from relatively low-level
mechanisms for maintaining calibration of our movements, to making high-level cognitive …
mechanisms for maintaining calibration of our movements, to making high-level cognitive …
Contextual inference in learning and memory
Context is widely regarded as a major determinant of learning and memory across
numerous domains, including classical and instrumental conditioning, episodic memory …
numerous domains, including classical and instrumental conditioning, episodic memory …
Contextual inference underlies the learning of sensorimotor repertoires
Humans spend a lifetime learning, storing and refining a repertoire of motor memories. For
example, through experience, we become proficient at manipulating a large range of objects …
example, through experience, we become proficient at manipulating a large range of objects …
The role of variability in motor learning
AK Dhawale, MA Smith… - Annual review of …, 2017 - annualreviews.org
Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and
widely considered to be the unwanted consequence of a noisy nervous system. However …
widely considered to be the unwanted consequence of a noisy nervous system. However …
Explicit and implicit contributions to learning in a sensorimotor adaptation task
Visuomotor adaptation has been thought to be an implicit process that results when a
sensory-prediction error signal is used to update a forward model. A striking feature of …
sensory-prediction error signal is used to update a forward model. A striking feature of …
Temporal structure of motor variability is dynamically regulated and predicts motor learning ability
HG Wu, YR Miyamoto, LNG Castro, BP Ölveczky… - Nature …, 2014 - nature.com
Individual differences in motor learning ability are widely acknowledged, yet little is known
about the factors that underlie them. Here we explore whether movement-to-movement …
about the factors that underlie them. Here we explore whether movement-to-movement …
Principles of sensorimotor learning
Abstract The exploits of Martina Navratilova and Roger Federer represent the pinnacle of
motor learning. However, when considering the range and complexity of the processes that …
motor learning. However, when considering the range and complexity of the processes that …
Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
Modeling human motor control and predicting how humans will move in novel environments
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …
Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus
Gradient mapping is an important technique to summarize high dimensional biological
features as low dimensional manifold representations in exploring brain structure-function …
features as low dimensional manifold representations in exploring brain structure-function …
Computational mechanisms of sensorimotor control
DW Franklin, DM Wolpert - Neuron, 2011 - cell.com
In order to generate skilled and efficient actions, the motor system must find solutions to
several problems inherent in sensorimotor control, including nonlinearity, nonstationarity …
several problems inherent in sensorimotor control, including nonlinearity, nonstationarity …