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  Adaptive cognitive maps for curved surfaces in the 3D world

Kim, M., & Doeller, C. F. (2022). Adaptive cognitive maps for curved surfaces in the 3D world. Cognition, 225: 105126. doi:10.1016/j.cognition.2022.105126.

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 Urheber:
Kim, Misun1, Autor           
Doeller, Christian F.1, 2, 3, Autor           
Affiliations:
1Department Psychology (Doeller), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2591710              
2Institute of Psychology, University of Leipzig, Germany, ou_persistent22              
3Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway, ou_persistent22              

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Schlagwörter: Curved; Three-dimensional; Euclidean; Path distance; Cognitive map
 Zusammenfassung: Terrains in a 3D world can be undulating. Yet, most prior research has exclusively investigated spatial representations on a flat surface, leaving a 2D cognitive map as the dominant model in the field. Here, we investigated whether humans represent a curved surface by building a dimension-reduced flattened 2D map or a full 3D map. Participants learned the location of objects positioned on a flat and curved surface in a virtual environment by driving on the concave side of the surface (Experiment 1), driving and looking vertically (Experiment 2), or flying (Experiment 3). Subsequently, they were asked to retrieve either the path distance or the 3D Euclidean distance between the objects. Path distance estimation was good overall, but we found a significant underestimation bias for the path distance on the curve, suggesting an influence of potential 3D shortcuts, even though participants were only driving on the surface. Euclidean distance estimation was better when participants were exposed more to the global 3D structure of the environment by looking and flying. These results suggest that the representation of the 2D manifold, embedded in a 3D world, is neither purely 2D nor 3D. Rather, it is flexible and dependent on the behavioral experience and demand.

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Sprache(n): eng - English
 Datum: 2022-02-282021-08-302022-04-112022-04-202022-08
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1016/j.cognition.2022.105126
Anderer: epub 2022
PMID: 35461111
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Förderorganisation : Max Planck Society
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Grant ID : ERCCoG GEOCOG 724836
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Förderorganisation : European Research Council (ERC)
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Förderorganisation : Kavli Foundation
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Förderorganisation : Jebsen Foundation

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Titel: Cognition
  Andere : Cognition
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Amsterdam : Elsevier
Seiten: - Band / Heft: 225 Artikelnummer: 105126 Start- / Endseite: - Identifikator: ISSN: 0010-0277
CoNE: https://pure.mpg.de/cone/journals/resource/954925391298