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Humans exhibit associative symmetry in the absence of backward training and stimulus overlap

Bibliographic Data

ID10244425
AuthorsVictor M Navarro (0000-0002-1992-4794, Cardiff University Cardiff UK, corresponding author), E A Wasserman (0000-0002-9993-8108, University of Iowa)
Year2025
Volume124
Issue1
Pagese70020-e70020
Publication date2025-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of the Experimental Analysis of Behavior (JOURNAL)
Journal identifiersISSN: 0022-5002 • E-ISSN: 1938-3711
PublisherWiley (PUBLISHER • GB)
DOI10.1002/jeab.70020
PMID40326233
OpenAlexW4410131610
LanguageEN
References cited41

A recent survey of the evidence on associative symmetry in humans revealed that nearly all the demonstrations either unintentionally trained backward stimulus pairings and/or had a temporal overlap between the stimuli being trained. We consider these criticisms and improve on our own method of “associative networks.” In this method, participants learn multiple stimulus pairings via arbitrary matching‐to‐sample tasks in which the stimuli are concurrently presented as sample and comparison stimuli. In Experiment 1, human participants learned a bidirectional network (in which symmetry was synergistic) and a unidirectional network (in which symmetry was antagonistic) or two unidirectional networks (removing explicit reinforcement of backward stimulus pairings). In Experiment 2, participants learned two unidirectional networks; however, we removed the temporal overlap between sample and comparison stimuli by imposing a 1‐s delay between them. Both experiments showed robust evidence of symmetry, suggesting that the expression of symmetry in humans survives the most common confounds in published research

Associative learning · Associative property · Bilateral symmetry · Cognitive psychology · Pure mathematics · Reinforcement · Stimulus (psychology) · Artificial Intelligence · Behavioral and Psychological Studies · Child and Animal Learning Development · Cognitive and developmental aspects of mathematical skills · Computer Science · Mathematics · Neuroscience · Psychology · Social Psychology

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Citation velocityhistorical
Highly citedNo

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