Evidence map›Paper›PMID 42395439›Full record

ArticlebioRxiv : the preprint server for biology2026

Dissociating the behavioral and computational features of implicit motor learning and explicit perturbation detection.

Hyosub E Kim, Jack O Darley, Michael S Landy, Romeo Chua, Dusty J Fox

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hyosub E KimSchool of Kinesiology.ORCID 0000-0003-0109-593X
Jack O DarleySchool of Kinesiology.
Michael S LandyDepartment of Psychology and Center for Neural Science, New York University.ORCID 0000-0002-2079-4552
Romeo ChuaSchool of Kinesiology.
Dusty J FoxSchool of Kinesiology.

Funding

SHAPE REPRESENTATION AND MULTIPLE DEPTH CUESR01EY008266 · NEI · NEW YORK UNIVERSITY · PI MICHAEL S LANDY · 1989 to 2026
$7.7M
NEI NIH HHS R01 EY008266
6 · The paper itself

Abstract

The human sensorimotor system is remarkably effective at automatically parsing total movement error into its constituent parts, the error component due to a perturbation, or externally-generated error (EGE), versus the error component due to motor noise, or internally-generated error (IGE). Participants robustly, and implicitly, adapt to minuscule (2°) EGEs in the form of randomized visuomotor rotations while ignoring identically-sized errors caused by IGE. This error parsing, and its associated perceptual processes, directly contrasts previous work showing that humans must observe rotations that are > 1.5

Identifiers

PMID42395439
PMCPMC13320948

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.