Serial dependence does not originate from low-level visual processing.

Decision inertia History bias Perception Serial dependence

Journal

Cognition
ISSN: 1873-7838
Titre abrégé: Cognition
Pays: Netherlands
ID NLM: 0367541

Informations de publication

Date de publication:
07 2021
Historique:
received: 07 08 2020
revised: 25 03 2021
accepted: 26 03 2021
pubmed: 11 4 2021
medline: 29 6 2021
entrez: 10 4 2021
Statut: ppublish

Résumé

Perception depends not only on the current sensory input but also on the preceding history of stimuli. In serial dependence (SD), for example, the orientation of a Gabor patch is mistakenly reported as more similar to previous trials than it actually is. This bias is typically observed for moderate orientation differences (<45°) and extends over a few trials in the past. It is hotly debated whether SD originates at perceptual or post-perceptual, e.g., decisional, stages. Here, we provide evidence for the latter hypothesis. We presented Gabor patches with different spatial frequencies or Gabors intermingled with dot patterns. Even though stimuli were perceptually clearly dissimilar, we found robust SD effects arguing against any perceptual account. These findings suggest a re-evaluation of current models and theoretical accounts of SD.

Identifiants

pubmed: 33838523
pii: S0010-0277(21)00128-1
doi: 10.1016/j.cognition.2021.104709
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104709

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Auteurs

Gizay Ceylan (G)

Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. Electronic address: gizay.ceylan@epfl.ch.

Michael H Herzog (MH)

Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

David Pascucci (D)

Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

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Classifications MeSH