Evidence map›Paper›PMID 33872304›Full record

ArticlePLoS computational biology2021

Hierarchical motor adaptations negotiate failures during force field learning.

Tsuyoshi Ikegami, Gowrishankar Ganesh, Tricia L Gibo, Toshinori Yoshioka, Rieko Osu, Mitsuo Kawato

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  5. From internal models toward metacognitive AI.Biological cybernetics · 2021
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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 at 5 institutions in 3 countries.

Tsuyoshi IkegamiCenter for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan.ORCID 0000-0002-8430-8226
Gowrishankar GaneshCenter for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan.
Tricia L GiboBrain Information Communication Research Laboratory Group, ATR, Kyoto, Japan.ORCID 0000-0003-2629-9904
Toshinori YoshiokaBrain Information Communication Research Laboratory Group, ATR, Kyoto, Japan.
Rieko OsuBrain Information Communication Research Laboratory Group, ATR, Kyoto, Japan.ORCID 0000-0003-3511-8722
Mitsuo KawatoBrain Information Communication Research Laboratory Group, ATR, Kyoto, Japan.
Research Organization of Information and Systems · JPCentre National de la Recherche Scientifique · FREGI · NLUbe Frontier University · JPWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans have the amazing ability to learn the dynamics of the body and environment to develop motor skills. Traditional motor studies using arm reaching paradigms have viewed this ability as the process of 'internal model adaptation'. However, the behaviors have not been fully explored in the case when reaches fail to attain the intended target. Here we examined human reaching under two force fields types; one that induces failures (i.e., target errors), and the other that does not. Our results show the presence of a distinct failure-driven adaptation process that enables quick task success after failures, and before completion of internal model adaptation, but that can result in persistent changes to the undisturbed trajectory. These behaviors can be explained by considering a hierarchical interaction between internal model adaptation and the failure-driven adaptation of reach direction. Our findings suggest that movement failure is negotiated using hierarchical motor adaptations by humans.

Indexed as

Adaptation, PhysiologicalPsychomotor PerformanceArmHumansMovement

Identifiers

PMID33872304
PMCPMC8084335
OpenAlexW3156848677

What OpenQuestion holds

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LicenceCC BY
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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.