[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 …

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 …

[کتاب][B] Robust adaptive dynamic programming

Y Jiang, ZP Jiang - 2017‏ - books.google.com
A comprehensive look at state-of-the-art ADP theory and real-world applications This book
fills a gap in the literature by providing a theoretical framework for integrating techniques …

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 …

Whatever next? Predictive brains, situated agents, and the future of cognitive science

A Clark - Behavioral and brain sciences, 2013‏ - cambridge.org
Brains, it has recently been argued, are essentially prediction machines. They are bundles
of cells that support perception and action by constantly attempting to match incoming …

[HTML][HTML] Bayesian causal inference: A unifying neuroscience theory

L Shams, U Beierholm - Neuroscience & Biobehavioral Reviews, 2022‏ - Elsevier
Understanding of the brain and the principles governing neural processing requires theories
that are parsimonious, can account for a diverse set of phenomena, and can make testable …

Motor learning principles for neurorehabilitation

T Kitago, JW Krakauer - Handbook of clinical neurology, 2013‏ - Elsevier
Neurorehabilitation is based on the assumption that motor learning contributes to motor
recovery after injury. However, little is known about how learning itself is affected by brain …

Rhythmic complexity and predictive coding: a novel approach to modeling rhythm and meter perception in music

P Vuust, MAG Witek - Frontiers in psychology, 2014‏ - frontiersin.org
Musical rhythm, consisting of apparently abstract intervals of accented temporal events, has
a remarkable capacity to move our minds and bodies. How does the cognitive system …