Evidence map›Paper›PMID 37975792›Full record

ArticleeLife2023

Judging the difficulty of perceptual decisions.

Anne Löffler, Ariel Zylberberg, Michael N Shadlen, Daniel M Wolpert

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Anne LöfflerZuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.
Ariel Zylberberg *Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.ORCID 0000-0002-2572-4748
Michael N Shadlen *Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.ORCID 0000-0002-2002-2210
Daniel M Wolpert *Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.ORCID 0000-0003-2011-2790

Funding

Instrumentation, Fabrication, and Design CoreP30EY019007 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Xin Zhang · 2010 to 2026
$12.9M
Computations in Human Motor LearningR01NS117699 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WOLPERT, DANIEL · 2021 to 2025
$2.5M
Computational and circuit mechanisms of decision makingR01NS113113 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHADLEN, MICHAEL NEIL · 2019 to 2023
$2.2M
NEI NIH HHS P30 EY019007NIH HHS R01NS113113NIH HHS R01NS117699NINDS NIH HHS R01 NS113113NINDS NIH HHS R01 NS117699
6 · The paper itself

Abstract

Deciding how difficult it is going to be to perform a task allows us to choose between tasks, allocate appropriate resources, and predict future performance. To be useful for planning, difficulty judgments should not require completion of the task. Here, we examine the processes underlying difficulty judgments in a perceptual decision-making task. Participants viewed two patches of dynamic random dots, which were colored blue or yellow stochastically on each appearance. Stimulus coherence (the probability,

Indexed as

Decision MakingJudgmentHumansProspective StudiesReaction Timedecision makingdifficulty judgmentshumanneurosciencesequentail sampling

Identifiers

PMID37975792
PMCPMC10656101

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.