[PDF][PDF] Motor learning

JW Krakauer, AM Hadjiosif, J Xu, AL Wong, AM Haith - Compr Physiol, 2019 - osf.io
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 …

Contextual inference in learning and memory

JB Heald, M Lengyel, DM Wolpert - Trends in cognitive sciences, 2023 - cell.com
Context is widely regarded as a major determinant of learning and memory across
numerous domains, including classical and instrumental conditioning, episodic memory …

Contextual inference underlies the learning of sensorimotor repertoires

JB Heald, M Lengyel, DM Wolpert - Nature, 2021 - nature.com
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 …

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 …

Explicit and implicit contributions to learning in a sensorimotor adaptation task

JA Taylor, JW Krakauer, RB Ivry - Journal of Neuroscience, 2014 - Soc Neuroscience
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 …

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 …

Principles of sensorimotor learning

DM Wolpert, J Diedrichsen, JR Flanagan - Nature reviews neuroscience, 2011 - nature.com
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 …

Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation

S Song, Ł Kidziński, XB Peng, C Ong, J Hicks… - … of neuroengineering and …, 2021 - Springer
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 …

Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus

Y Katsumi, J Zhang, D Chen, N Kamona… - Communications …, 2023 - nature.com
Gradient mapping is an important technique to summarize high dimensional biological
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 …