Unconscious categorization of sub-millisecond complex images.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 22 07 2019
accepted: 07 07 2020
entrez: 14 8 2020
pubmed: 14 8 2020
medline: 3 10 2020
Statut: epublish

Résumé

Can people categorize complex visual scenes unconsciously? The possibility of unconscious perception remains controversial. Here, we addressed this question using psychophysical methods applied to unmasked visual stimuli presented for extremely short durations (in the μsec range) by means of a custom-built modern tachistoscope. Our experiment was composed of two phases. In the first phase, natural or urban scenes were either absent or present (for varying durations) on the tachistoscope screen, and participants were simply asked to evaluate their subjective perception using a 3-points scale (absence of stimulus, stimulus detection or stimulus identification). Participants' responses were tracked by means of two staircases. The first psychometric function aimed at defining participants' proportion of subjective detection responses (i.e., not having seen anything vs. having seen something without being able to identify it), while the second staircase tracked the proportion of subjective identification rates (i.e., being unaware of the stimulus' category vs. being aware of it). In the second phase, the same participants performed an objective categorization task in which they had to decide, on each trial, whether the image was a natural vs. an urban scene. A third staircase was used in this phase so as to build a psychometric curve reflecting the objective categorization performance of each participant. In this second phase, participants also rated their subjective perception of each stimulus on every trial, exactly as in the first phase of the experiment. Our main result is that objective categorization performance, here assumed to reflect the contribution of both conscious and unconscious trials, cannot be explained based exclusively on conscious trials. This clearly suggests that the categorization of complex visual scenes is possible even when participants report being unable to consciously perceive the contents of the stimulus.

Identifiants

pubmed: 32785238
doi: 10.1371/journal.pone.0236467
pii: PONE-D-19-20674
pmc: PMC7423101
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0236467

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Arnaud Beauny (A)

Consciousness, Cognition & Computation Group (CO3), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Center for Research in Cognition & Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium.
ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Adélaïde de Heering (A)

Consciousness, Cognition & Computation Group (CO3), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Center for Research in Cognition & Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium.
ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Santiago Muñoz Moldes (S)

Consciousness, Cognition & Computation Group (CO3), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Center for Research in Cognition & Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium.
ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Jean-Rémy Martin (JR)

Consciousness, Cognition & Computation Group (CO3), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Center for Research in Cognition & Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium.
ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Albert de Beir (A)

Robotics and Multibody Mechanics Research Group, Vrije Universiteit Brussel and Flanders Make, Brussels, Belgium.

Axel Cleeremans (A)

Consciousness, Cognition & Computation Group (CO3), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Center for Research in Cognition & Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium.
ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

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