Evidence map›Paper›PMID 36272988›Full record

ArticleScientific reports2022

Visual consequent stimulus complexity affects performance in audiovisual associative learning.

Kálmán Tót, Gabriella Eördegh, Ádám Kiss, András Kelemen, Gábor Braunitzer, Szabolcs Kéri, Balázs Bodosi, Attila Nagy

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

8 authors.

Kálmán TótDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged, 6720, Hungary.
Gabriella EördeghFaculty of Health Sciences and Social Studies, University of Szeged, Szeged, Hungary.
Ádám KissDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged, 6720, Hungary.
András KelemenDepartment of Applied Informatics, University of Szeged, Szeged, Hungary.
Gábor BraunitzerNyírő Gyula National Institute of Psychiatry and Addictions, Budapest, Hungary.
Szabolcs KériDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged, 6720, Hungary.
Balázs BodosiDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged, 6720, Hungary.
Attila NagyDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged, 6720, Hungary. nagy.attila.1@med.u-szeged.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In associative learning (AL), cues and/or outcome events are coupled together. AL is typically tested in visual learning paradigms. Recently, our group developed various AL tests based on the Rutgers Acquired Equivalence Test (RAET), both visual and audiovisual, keeping the structure and logic of RAET but with different stimuli. In this study, 55 volunteers were tested in two of our audiovisual tests, SoundFace (SF) and SoundPolygon (SP). The antecedent stimuli in both tests are sounds, and the consequent stimuli are images. The consequents in SF are cartoon faces, while in SP, they are simple geometric shapes. The aim was to test how the complexity of the applied consequent stimuli influences performance regarding the various aspects of learning the tests assess (stimulus pair learning, retrieval, and generalization of the previously learned associations to new but predictable stimulus pairs). In SP, behavioral performance was significantly poorer than in SF, and the reaction times were significantly longer, for all phases of the test. The results suggest that audiovisual associative learning is significantly influenced by the complexity of the consequent stimuli.

Indexed as

Generalization, PsychologicalLearningAssociation LearningConditioning, ClassicalCuesHumansPhotic Stimulation

Identifiers

PMID36272988
PMCPMC9587981

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Registered trials

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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.