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Perceptual filling-in dispels the veridicality problem of conscious perception research

Bibliographic Data

ID20409429
AuthorsMax Levinson (0000-0001-8625-8181, Montreal Neurological Institute and Hospital, corresponding author), Sylvain Baillet (0000-0002-6762-5713, McGill University)
Year2022
Volume100
Pages103316
Publication date2022-04-01
Open AccessYes
TypeARTICLE
VenueConsciousness and Cognition (JOURNAL)
Journal identifiersISSN: 1053-8100 • E-ISSN: 1090-2376
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.concog.2022.103316
PMID35358869
OpenAlexW4220982687
LanguageEN
Citations received1
References cited87

Conscious perceptual experiences are expected to correlate with content-specific brain activity. A veridicality problem arises when attempting to disentangle unconscious and conscious brain processes if conscious perceptual contents accurately match the physical nature of the stimulus. We argue that perceptual filling-in, a phenomenon whereby visual information inaccurately spreads across visual space, is a promising approach to circumvent the veridicality problem. Filling-in generates non-veridical although unambiguous percepts dissociated from stimulus input. In particular, the radial uniformity illusion induces a filling-in experience between a central disk and the surrounding periphery. We discuss how this illusion facilitates both the detection of neurophysiological responses and subjective phenomenological monitoring. We report behavioral effects from a large-sample (n = 200) psychophysics study and examine key stimulus parameters that drive the conscious filling-in experience. We propose that these data underpin future hypothesis-driven studies of filling-in to further delineate the neural mechanisms of conscious perception

Cognitive psychology · Consciousness · Epistemology · Filling-in · Illusion · Neurophysiology · Optical illusion · Perception · Phenomenon · Psychophysics · Unconscious mind · Visual perception · Computer Science · Neural and Behavioral Psychology Studies · Neural dynamics and brain function · Neuroscience · Psychology · Visual perception and processing mechanisms · Artificial Intelligence

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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