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 …

Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noise

T Zhu, JP Gallivan, DM Wolpert… - PLOS Computational …, 2023 - journals.plos.org
Motor errors can have both bias and noise components. Bias can be compensated for by
adaptation and, in tasks in which the magnitude of noise varies across the environment …

Quantifying exploration in reward-based motor learning

NM Van Mastrigt, JBJ Smeets, K Van Der Kooij - Plos one, 2020 - journals.plos.org
Exploration in reward-based motor learning is observable in experimental data as increased
variability. In order to quantify exploration, we compare three methods for estimating other …

Motor learning in multijoint virtual arm movements with novel kinematics

N Inubashiri, S Hagio, M Kouzaki - Scientific Reports, 2024 - nature.com
Humans move their hands toward precise positions, a skill supported by the coordination of
multiple joint movements, even in the presence of inherent redundancy. However, it remains …

Learning a reach trajectory based on binary reward feedback

K van der Kooij, NM van Mastrigt, EM Crowe… - Scientific Reports, 2021 - nature.com
Binary reward feedback on movement success is sufficient for learning some simple
sensorimotor mappings in a reaching task, but not for some other tasks in which multiple …

Null effects of levodopa on reward-and error-based motor adaptation, savings, and anterograde interference

DJ Palidis, HR McGregor, A Vo… - Journal of …, 2021 - journals.physiology.org
Dopamine signaling is thought to mediate reward-based learning. We tested for a role of
dopamine in motor adaptation by administering the dopamine precursor levodopa to healthy …

A Hessian-based decomposition characterizes how performance in complex motor skills depends on individual strategy and variability

P Tommasino, A Maselli, D Campolo, F Lacquaniti… - Plos one, 2021 - journals.plos.org
In complex real-life motor skills such as unconstrained throwing, performance depends on
how accurate is on average the outcome of noisy, high-dimensional, and redundant actions …

Quantitative assessment of learning and retention in virtual vocal function exercises

JH Van Stan, SW Park, M Jarvis, J Stemple… - Journal of Speech …, 2021 - ASHA
Purpose Successful voice therapy requires the patient to learn new vocal behaviors, but little
is currently known regarding how vocal motor skills are improved and retained. To …

Guiding functional reorganization of motor redundancy using a body-machine interface

D De Santis, FA Mussa-Ivaldi - Journal of neuroengineering and …, 2020 - Springer
Background Body-machine interfaces map movements onto commands to external devices.
Redundant motion signals derived from inertial sensors are mapped onto lower-dimensional …

Learning alternative movement coordination patterns using reinforcement feedback

TH Lin, A Denomme, R Ranganathan - Experimental brain research, 2018 - Springer
One of the characteristic features of the human motor system is redundancy—ie, the ability to
achieve a given task outcome using multiple coordination patterns. However, once …