Explicitly versus implicitly driven temporal expectations: No evidence for altered perceptual processing due to top-down modulations.

Computational models Explicit vs. implicit learning Metacognition Temporal expectations

Journal

Attention, perception & psychophysics
ISSN: 1943-393X
Titre abrégé: Atten Percept Psychophys
Pays: United States
ID NLM: 101495384

Informations de publication

Date de publication:
May 2020
Historique:
pubmed: 26 12 2019
medline: 17 12 2020
entrez: 26 12 2019
Statut: ppublish

Résumé

Learning the statistical regularities of environmental events is a powerful tool for enhancing performance. However, it remains unclear whether this often implicit type of behavioral facilitation can be proactively modulated by explicit knowledge about temporal regularities. Only recently, Menceloglu and colleagues (Attention, Perception & Psychophysics, 79(1), 169-179, 2017) tested for differences between implicit versus explicit statistical learning of temporal regularities by using a within-paradigm manipulation of metacognitive temporal knowledge. The authors reported that temporal expectations were enhanced if participants had explicit knowledge about temporal regularities. Here, we attempted to replicate and extend their results, and to provide a mechanistic framework for any effects by means of computational modelling. Participants performed a letter-discrimination task, with target letters embedded in congruent or incongruent flankers. Temporal predictability was manipulated block-wise, with targets occurring more often after either a short or a long delay period. During the delay a sound was presented in half of the trials. Explicit knowledge about temporal regularities was manipulated by changing instructions: Participants received no information (implicit), information about the most likely cue-target delay (explicit), or received 100% valid cues on each trial (highly explicit). We replicated previous effects of target-flanker congruence and sound presence. However, no evidence was found for an effect of explicit knowledge on temporal expectations using Bayesian statistics. Concordantly, computational modelling suggested that explicit knowledge may only influence non-perceptual processing such as response criteria. Together, our results indicate that explicit metacognitive knowledge does not necessarily alter sensory representations or temporal expectations but rather affects response strategies.

Identifiants

pubmed: 31875312
doi: 10.3758/s13414-019-01879-1
pii: 10.3758/s13414-019-01879-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1793-1807

Auteurs

Felix Ball (F)

Biological Psychology, Faculty of Natural Science, Otto-von-Guericke-University, PO Box 4120, 39106, Magdeburg, Germany. Felix.Ball@ovgu.de.
Center for Behavioral Brain Sciences, Otto-von-Guericke-University, Magdeburg, Germany. Felix.Ball@ovgu.de.

Rosa-Marie Groth (RM)

Biological Psychology, Faculty of Natural Science, Otto-von-Guericke-University, PO Box 4120, 39106, Magdeburg, Germany.

Camila S Agostino (CS)

Biological Psychology, Faculty of Natural Science, Otto-von-Guericke-University, PO Box 4120, 39106, Magdeburg, Germany.
ABINEP - International Graduate School, Otto-von-Guericke-University, Magdeburg, Germany.

Emanuele Porcu (E)

Biological Psychology, Faculty of Natural Science, Otto-von-Guericke-University, PO Box 4120, 39106, Magdeburg, Germany.

Toemme Noesselt (T)

Biological Psychology, Faculty of Natural Science, Otto-von-Guericke-University, PO Box 4120, 39106, Magdeburg, Germany.
Center for Behavioral Brain Sciences, Otto-von-Guericke-University, Magdeburg, Germany.

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Classifications MeSH