Invisible Adaptation: The Effect of Awareness on the Strength of the Motion Aftereffect.


Journal

Perception
ISSN: 1468-4233
Titre abrégé: Perception
Pays: United States
ID NLM: 0372307

Informations de publication

Date de publication:
Aug 2020
Historique:
pubmed: 2 7 2020
medline: 26 5 2021
entrez: 2 7 2020
Statut: ppublish

Résumé

The ability to process information despite the lack of perceptual awareness is one of the most fascinating aspects of the visual system. Such unconscious processing is often investigated using adaptation, where any presence of the former can be traced by its footprint on aftereffects following the latter. We have investigated the mechanisms of the motion aftereffect (MAE) using random dot displays of varying motion coherence as well as crowding to modulate both the physical as well as the perceptual strength of the adaptation stimulus. Perceptual strength was quantitatively measured as the performance in a forced-choice direction-discrimination task. A motion-nulling technique was used to quantitatively measure the strength of the MAE. We show that the strength of the dynamic MAE is independently influenced by both the physical stimulus strength as well as the subjective perceptual strength, with the effect of the former being more prominent than that of the latter. We further show that the MAE still persists under conditions of subthreshold perception. Our results suggest that perceptual awareness can influence the strength of visual processing, but the latter is not fully dependent on the former and can still take place at its partial or even total absence.

Identifiants

pubmed: 32605425
doi: 10.1177/0301006620936853
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

835-857

Auteurs

Daphne Roumani (D)

Cognitive Science Division, Department of Philosophy and History of Science, National and Kapodistrian University of Athens, Greece.

Konstantinos Moutoussis (K)

Cognitive Science Division, Department of Philosophy and History of Science, National and Kapodistrian University of Athens, Greece.

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Classifications MeSH