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A neural mechanism for contextualizing fragmented inputs during naturalistic vision

  • With every glimpse of our eyes, we sample only a small and incomplete fragment of the visual world, which needs to be contextualized and integrated into a coherent scene representation. Here we show that the visual system achieves this contextualization by exploiting spatial schemata, that is our knowledge about the composition of natural scenes. We measured fMRI and EEG responses to incomplete scene fragments and used representational similarity analysis to reconstruct their cortical representations in space and time. We observed a sorting of representations according to the fragments' place within the scene schema, which occurred during perceptual analysis in the occipital place area and within the first 200 ms of vision. This schema-based coding operates flexibly across visual features (as measured by a deep neural network model) and different types of environments (indoor and outdoor scenes). This flexibility highlights the mechanism's ability to efficiently organize incoming information under dynamic real-world conditions.
Metadaten
Verfasserangaben:Daniel Kaiser, Jacopo Turini, Radoslaw Martin CichyORCiDGND
URN:urn:nbn:de:hebis:30:3-545557
DOI:https://doi.org/10.7554/eLife.48182
Pubmed-Id:https://pubmed.ncbi.nlm.nih.gov/31596234
Titel des übergeordneten Werkes (Deutsch):eLife
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):09.10.2019
Datum der Erstveröffentlichung:09.10.2019
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:08.04.2020
Freies Schlagwort / Tag:deep neural network models; fMRI/EEG; human; multivariate pattern analysis; neuroscience; real-world structure; scene representation; visual perception
Jahrgang:8
Ausgabe / Heft:e48182
Seitenzahl:16
Bemerkung:
Copyright Kaiser et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
HeBIS-PPN:46377325X
Institute:Psychologie und Sportwissenschaften / Psychologie
DDC-Klassifikation:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
Sammlungen:Universitätspublikationen
Lizenz (Deutsch):License LogoCreative Commons - Namensnennung 4.0