Evidence map›Paper›PMID 31182724›Full record

ArticleScientific reports2019

An integration-to-bound model of decision-making that accounts for the spectral properties of neural data.

Ramón Guevara Erra, Marco Arbotto, Aaron Schurger

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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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

3 authors.

Ramón Guevara ErraIntegrative Neuroscience and Cognition Center, UMR 8002, Université Paris Descartes, Paris, France. guevarra.erra@gmail.com.
Marco ArbottoMaster of Biomedical Engineering,Université Paris Descartes, Paris, France.
Aaron SchurgerINSERM, Cognitive Neuroimaging Unit, Gif sur Yvette, 91191, France.ORCID http://orcid.org/0000-0003-2985-3253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integration-to-bound models are among the most widely used models of perceptual decision-making due to their simplicity and power in accounting for behavioral and neurophysiological data. They involve temporal integration over an input signal ("evidence") plus Gaussian white noise. However, brain data shows that noise in the brain is long-term correlated, with a spectral density of the form 1/f

Indexed as

Models, NeurologicalBrainDecision MakingDiscrimination, PsychologicalHumansMovementNeurophysiologyNonlinear DynamicsVisual Perception

Identifiers

PMID31182724
PMCPMC6557846

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.