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dc.contributor.authorUrcelay, Gonzalo
dc.contributor.otherHerrera de la Llave, Estibaliz
dc.contributor.otherAlcalá, José Andres
dc.contributor.otherTazumi, Toru
dc.contributor.otherBuckley, Matthew G.
dc.contributor.otherPrados, José
dc.description.abstractOver the last 50 years, cue competition phenomena have shaped theoretical developments in animal and human learning. However, recent failures to obtain the well-known blocking effect in standard conditioning procedures, as well as the lengthy and on-going debate surrounding cue competition in the spatial learning literature, have cast doubts on the generality of competition phenomena. In the present study, we manipulated temporal contiguity between predictors and outcomes (Experiments 1-4), and spatial contiguity between landmarks and goals in spatial learning (Experiments 5-7). Across different parametric variations, we observed overshadowing when temporal and spatial contiguity were strong, but no overshadowing when contiguity was weak. Thus, across temporal and spatial domains, we observed that contiguity is necessary for competition to occur, and that competition between cues during learning is absent when cues were either spatially or temporally discontiguous. Consequently, we advance a model in which the contiguity of cues is accounted for, and which can reconcile the previously contradictory findings observed in spatial and non-spatial domains.en_UK
dc.publisherThe University of Nottinghamen_UK
dc.subject.lcshSpatial behavioren_UK
dc.subject.lcshCognitive maps (Psychology)en_UK
dc.subject.lcshTime perceptionen_UK
dc.subject.lcshLearning, Psychology ofen_UK
dc.titleTemporal and spatial contiguity are necessary for competition between eventsen_UK
dc.subject.freecue competition; overshadowing; temporal; spatial; contiguityen_UK
dc.subject.jacsBiological Sciences::Psychology::Cognitive & affective psychology::Psychology of memory & learningen_UK
dc.subject.lcB Philosophy. Psychology. Religion::BF Psychologyen_UK
uon.divisionUniversity of Nottingham, UK Campusen_UK
uon.funder.controlledEconomic & Social Research Councilen_UK
uon.datatypeBehavioural data in two different tasks. Task # 1 assessed predictive learning. Task # 2 assessed spatial learningen_UK
uon.collectionmethodThe data was collected whilst participants participated in the experiments. In each experiment, participants were randomly allocated to a group and they participated in the experiment which was administered through a computer. The task in Exps 1-4 was custom written in C++, whereas the data in Exps 5-7 was collected using MazeSuite, a dedicated software for spatial learning tasks.en_UK

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