Evidence map›Paper›PMID 39836694›Full record

ArticlePLoS computational biology2025

Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data.

Fernando A Najman, Antonio Galves, Marcela Svarc, Claudia D Vargas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PLoS computational biology, 2025. 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

4 authors.

Fernando A NajmanInstituto de Computação, Universidade Estadual de Campinas, Campinas, Brazil.ORCID 0000-0001-9135-4397
Antonio GalvesInstituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, Brazil.
Marcela SvarcDepartamento de Matemática y Ciencias, Universidad de San Andrés, Buenos Aires, Argentina, CONICET, Buenos Aires, Argentina.
Claudia D VargasInstituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0001-6202-3580

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Foundation (CAPES)FAPESP Research, Innovation and Dissemination Center for Neuromathematics NeuroMatFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ)São Paulo Research Foundation (FAPESP)
6 · The paper itself

Abstract

It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of the classes of models used by the brain to perform this task. We address this issue by using a new clustering procedure for sets of electroencephalographic (EEG) data recorded from participants exposed to a sequence of auditory stimuli generated by a stochastic chain. This clustering procedure indicates that the brain uses the recurrent occurrences of a regular auditory stimulus in order to build a model.

Indexed as

Acoustic StimulationBrainElectroencephalographyModels, NeurologicalAlgorithmsAuditory PerceptionCluster AnalysisComputational BiologyEvoked Potentials, AuditoryFemaleHumans

Identifiers

PMID39836694
PMCPMC11785292

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.