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Adaptive cognitive maps for curved surfaces in the 3D world

View ORCID ProfileMisun Kim, Christian F. Doeller
doi: https://doi.org/10.1101/2021.08.30.458179
Misun Kim
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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  • For correspondence: mkim@cbs.mpg.de doeller@cbs.mpg.de
Christian F. Doeller
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
2Institute of Psychology, Leipzig University, Leipzig, Germany
3Kavli Institute for Systems Neuroscience, Trondheim, Norway
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  • For correspondence: mkim@cbs.mpg.de doeller@cbs.mpg.de
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Abstract

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 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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Postal address: Stephanstr. 1a, Leipzig 04107, Germany

  • https://osf.io/gsnyx/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted September 01, 2021.
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Adaptive cognitive maps for curved surfaces in the 3D world
Misun Kim, Christian F. Doeller
bioRxiv 2021.08.30.458179; doi: https://doi.org/10.1101/2021.08.30.458179
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Adaptive cognitive maps for curved surfaces in the 3D world
Misun Kim, Christian F. Doeller
bioRxiv 2021.08.30.458179; doi: https://doi.org/10.1101/2021.08.30.458179

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