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 …
Continuously updating one's predictions underlies successful interception
E Brenner, JBJ Smeets - Journal of neurophysiology, 2018 - journals.physiology.org
This paper reviews our understanding of the interception of moving objects. Interception is a
demanding task that requires both spatial and temporal precision. The required precision …
demanding task that requires both spatial and temporal precision. The required precision …
[HTML][HTML] A Novel Tool for Gait Analysis: Validation Study of the Smart Insole PODOSmart®
E Ziagkas, A Loukovitis, DX Zekakos, TDP Chau… - Sensors, 2021 - mdpi.com
The new smart insole PODOSmart®, is introduced as a new tool for gait analysis against
high cost laboratory based equipment. PODOSmart® system measures walking profile and …
high cost laboratory based equipment. PODOSmart® system measures walking profile and …
[HTML][HTML] Dissociating error-based and reinforcement-based loss functions during sensorimotor learning
JGA Cashaback, HR McGregor… - PLoS computational …, 2017 - journals.plos.org
It has been proposed that the sensorimotor system uses a loss (cost) function to evaluate
potential movements in the presence of random noise. Here we test this idea in the context …
potential movements in the presence of random noise. Here we test this idea in the context …
[HTML][HTML] Smart shoe insole based on polydimethylsiloxane composite capacitive sensors
Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-
established technique. The use of intelligent insoles allows real-time monitoring of the user …
established technique. The use of intelligent insoles allows real-time monitoring of the user …
Persistent residual errors in motor adaptation tasks: reversion to baseline and exploratory escape
When movements are perturbed in adaptation tasks, humans and other animals show
incomplete compensation, tolerating small but sustained residual errors that persist despite …
incomplete compensation, tolerating small but sustained residual errors that persist despite …
[HTML][HTML] Identifying stride-to-stride control strategies in human treadmill walking
JB Dingwell, JP Cusumano - PloS one, 2015 - journals.plos.org
Variability is ubiquitous in human movement, arising from internal and external noise,
inherent biological redundancy, and from the neurophysiological control actions that help …
inherent biological redundancy, and from the neurophysiological control actions that help …
Motor variability arises from a slow random walk in neural state
KS Chaisanguanthum, HH Shen… - Journal of …, 2014 - Soc Neuroscience
Even well practiced movements cannot be repeated without variability. This variability is
thought to reflect “noise” in movement preparation or execution. However, we show that, for …
thought to reflect “noise” in movement preparation or execution. However, we show that, for …
A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning
D Kappel, R Legenstein, S Habenschuss, M Hsieh… - eneuro, 2018 - eneuro.org
Synaptic connections between neurons in the brain are dynamic because of continuously
ongoing spine dynamics, axonal sprouting, and other processes. In fact, it was recently …
ongoing spine dynamics, axonal sprouting, and other processes. In fact, it was recently …
High variability impairs motor learning regardless of whether it affects task performance
M Cardis, M Casadio… - Journal of …, 2018 - journals.physiology.org
Motor variability plays an important role in motor learning, although the exact mechanisms of
how variability affects learning are not well understood. Recent evidence suggests that …
how variability affects learning are not well understood. Recent evidence suggests that …