Unconscious Perception of Vernier Offsets.

bias-free task consciousness observer model tachistoscope unconscious perception

Journal

Open mind : discoveries in cognitive science
ISSN: 2470-2986
Titre abrégé: Open Mind (Camb)
Pays: United States
ID NLM: 101723793

Informations de publication

Date de publication:
2024
Historique:
received: 15 12 2023
accepted: 15 04 2024
medline: 19 6 2024
pubmed: 19 6 2024
entrez: 19 6 2024
Statut: epublish

Résumé

The comparison between conscious and unconscious perception is a cornerstone of consciousness science. However, most studies reporting above-chance discrimination of unseen stimuli do not control for criterion biases when assessing awareness. We tested whether observers can discriminate subjectively invisible offsets of Vernier stimuli when visibility is probed using a bias-free task. To reduce visibility, stimuli were either backward masked or presented for very brief durations (1-3 milliseconds) using a modern-day Tachistoscope. We found some behavioral indicators of perception without awareness, and yet, no conclusive evidence thereof. To seek more decisive proof, we simulated a series of Bayesian observer models, including some that produce visibility judgements alongside type-1 judgements. Our data are best accounted for by observers with slightly suboptimal conscious access to sensory evidence. Overall, the stimuli and visibility manipulations employed here induced mild instances of blindsight-like behavior, making them attractive candidates for future investigation of this phenomenon.

Identifiants

pubmed: 38895041
doi: 10.1162/opmi_a_00145
pii: opmi_a_00145
pmc: PMC11185422
doi:

Types de publication

Journal Article

Langues

eng

Pagination

739-765

Informations de copyright

© 2024 Massachusetts Institute of Technology.

Déclaration de conflit d'intérêts

Competing Interests: The authors declare no conflict of interests.

Auteurs

Pietro Amerio (P)

Consciousness, Cognition & Computation Group, Center for Research in Cognition & Neurosciences, ULB Neuroscience Institute, Université libre de Bruxelles.

Matthias Michel (M)

Consciousness, Cognition & Computation Group, Center for Research in Cognition & Neurosciences, ULB Neuroscience Institute, Université libre de Bruxelles.
Center for Mind, Brain and Consciousness, New York University.

Stephan Goerttler (S)

Consciousness, Cognition & Computation Group, Center for Research in Cognition & Neurosciences, ULB Neuroscience Institute, Université libre de Bruxelles.

Megan A K Peters (MAK)

Department of Cognitive Sciences, University of California Irvine.

Axel Cleeremans (A)

Consciousness, Cognition & Computation Group, Center for Research in Cognition & Neurosciences, ULB Neuroscience Institute, Université libre de Bruxelles.

Classifications MeSH