[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 …

It's not (only) the mean that matters: variability, noise and exploration in skill learning

D Sternad - Current opinion in behavioral sciences, 2018 - Elsevier
Highlights•Analysis of variability provides information about control priorities.•Variability
comprises a multitude of processes that contribute to skill improvement.•Stages of learning …

How is a motor skill learned? Change and invariance at the levels of task success and trajectory control

L Shmuelof, JW Krakauer… - Journal of …, 2012 - journals.physiology.org
The public pays large sums of money to watch skilled motor performance. Notably, however,
in recent decades motor skill learning (performance improvement beyond baseline levels) …

The relationship between habits and motor skills in humans

Y Du, JW Krakauer, AM Haith - Trends in cognitive sciences, 2022 - cell.com
How do habit and skill relate to one another? Among many traditions of habit research, we
suggest that'slip-of-action'habits are the type most likely to relate to motor skill. Habits are …

[HTML][HTML] Structure learning in action

DA Braun, C Mehring, DM Wolpert - Behavioural brain research, 2010 - Elsevier
'Learning to learn'phenomena have been widely investigated in cognition, perception and
more recently also in action. During concept learning tasks, for example, it has been …

Variability in motor learning: relocating, channeling and reducing noise

RG Cohen, D Sternad - Experimental brain research, 2009 - Springer
Variability in motor performance decreases with practice but is never entirely eliminated, due
in part to inherent motor noise. The present study develops a method that quantifies how …

Adaptation and robust learning of probabilistic movement primitives

S Gomez-Gonzalez, G Neumann… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Probabilistic representations of movement primitives open important new possibilities for
machine learning in robotics. These representations are able to capture the variability of the …

Long-term motor learning in the “wild” with high volume video game data

JB Listman, JS Tsay, HE Kim, WE Mackey… - Frontiers in human …, 2021 - frontiersin.org
Motor learning occurs over long periods of practice during which motor acuity, the ability to
execute actions more accurately, precisely, and in less time, improves. Laboratory-based …

Complex adaptive behavior and dexterous action

SJ Harrison, N Stergiou - Nonlinear dynamics, psychology …, 2015 - pmc.ncbi.nlm.nih.gov
Dexterous action, as conceptualized by Bernstein in his influential ecological analysis of
human behavior, is revealed in the ability to flexibly generate behaviors that are adaptively …

Motor learning in stroke: trained patients are not equal to untrained patients with less impairment

RM Hardwick, VA Rajan, AJ Bastian… - … and neural repair, 2017 - journals.sagepub.com
Background and Objective: Stroke rehabilitation assumes motor learning contributes to
motor recovery, yet motor learning in stroke has received little systematic investigation. Here …