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  Flexible integration of a navigable, clustered environment

Strickrodt, M., Bülthoff, H., & Meilinger, T. (2017). Flexible integration of a navigable, clustered environment. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Computational Foundations of Cognition (pp. 1156-1156). Austin, TX, USA: Cognitive Science Society.

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 Creators:
Strickrodt, M1, 2, Author           
Bülthoff, HH1, 2, 3, Author           
Meilinger, T1, 2, 4, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              
4Project group: Social & Spatial Cognition, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528706              

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 Abstract: The representation of navigable space, consisting of multiple interconnected spaces, yet is not well understood. We examined different levels of integration within memory (local, regional, global). Participants learned two distinctive regions of a virtual environment that converged at a common transition-point. Subsequently, we tested their memory with a pointing task, varying body alignment during pointing, corridor distance to and regional belonging of the target. Pointing latency increased with increasing distance to the target and when pointing into the other region. Further, alignment with local, regional and global reference frames were found to facilitate pointing latency. These findings suggest that participants memorized local corridors, clustered corridors into regions, and also formed global reference frames, thus, represented the environment on multiple levels of integration. They are inconsistent with conceptions of spatial memory for navigable environments based either on exclusive representation within a single reference frame or exclusive reliance on local reference frames.

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 Dates: 2017-07
 Publication Status: Issued
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 Identifiers: BibTex Citekey: StrickrodtBM2017
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Title: 39th Annual Meeting of the Cognitive Science Society (CogSci 2017)
Place of Event: London, UK
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Title: Computational Foundations of Cognition
Source Genre: Proceedings
 Creator(s):
Gunzelmann, G., Editor
Howes, A., Editor
Tenbrink, T., Editor
Davelaar, E., Editor
Affiliations:
-
Publ. Info: Austin, TX, USA : Cognitive Science Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1156 - 1156 Identifier: ISBN: 978-0-9911967-6-0