Evidence map›Paper›PMID 27606808›Full record

SynthesisPLoS computational biology2016

The Statistical Determinants of the Speed of Motor Learning.

Kang He, You Liang, Farnaz Abdollahi, Moria Fisher Bittmann, Konrad Kording, Kunlin Wei

Abstract readMeta-Analysis
In one paragraph

Synthesis in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kang HeSchool of Psychological and Cognitive Sciences, Peking University, Beijing, China.
You LiangSchool of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Farnaz AbdollahiRehabilitation Institute of Chicago, Chicago, Illinois, United States of America.
Moria Fisher BittmannUniversity of Wisconsin, Madison, Wisconsin, United States of America.
Konrad KordingRehabilitation Institute of Chicago, Chicago, Illinois, United States of America.
Kunlin WeiSchool of Psychological and Cognitive Sciences, Peking University, Beijing, China.

Funding

The role of uncertainty in human motor learning and adaptationR01NS063399 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI KORDING, KONRAD P. · 2009 to 2019
$2.8M
NINDS NIH HHS R01 NS063399
6 · The paper itself

Abstract

It has recently been suggested that movement variability directly increases the speed of motor learning. Here we use computational modeling of motor adaptation to show that variability can have a broad range of effects on learning, both negative and positive. Experimentally, we also find contributing and decelerating effects. Lastly, through a meta-analysis of published papers, we verify that across a wide range of experiments, movement variability has no statistical relation with learning rate. While motor learning is a complex process that can be modeled, further research is needed to understand the relative importance of the involved factors.

Indexed as

Models, StatisticalComputational BiologyHumansLearningPsychomotor PerformanceTask Performance and Analysis

Identifiers

PMID27606808
PMCPMC5015831

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.