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  Perspective Taking vs Mental Rotation: CSP-Based Single-Trial Analysis for Cognitive Process Disambiguation

Christoforou, C., Hatzipanayioti, A., & Avraamides, M. (2018). Perspective Taking vs Mental Rotation: CSP-Based Single-Trial Analysis for Cognitive Process Disambiguation. In S. Wang, V. Yamamoto, J. Su, Y. Yang, E. Jones, L. Iasemidis, et al. (Eds.), BI 2018: Brain Informatics (pp. 109-118).

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-A921-A Version Permalink: http://hdl.handle.net/21.11116/0000-0002-A928-3
Genre: Conference Paper

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 Creators:
Christoforou, C, Author
Hatzipanayioti, A1, 2, Author              
Avraamides, M, 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              

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 Abstract: Mental Rotation (i.e. the ability to mentally rotate representations of 2D and 3D objects) and egocentric Perspective Taking (i.e. the ability to adopt an imagined spatial perspective) represent the two most well-known and used types of spatial transformation. Yet, these two spatial transformations are conceptually, visually, and mathematically equivalent. Thus, an active debate in the field is whether these two types of spatial transformations are cognitively and neurally distinct or whether they represent different manifestation of the same underlying core mental process. In this study, we utilize a machine learning approach to extract neural activity from electroencephalography (EEG) measures and identify neural differences between mental rotation and perspective taking tasks. Our results provide novel empirical evidence in support of the view that these two types of spatial transformation correspond to district cognitive processes at the neural level. Importantly, the proposed framework provides a novel approach that can facilitate the study of the neural correlates of spatial cognition.

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 Dates: 2018-12
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1007/978-3-030-05587-5_11
 Degree: -

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Title: 11th International Conference on Brain Informatics (BI 2018)
Place of Event: Arlington, TX, USA
Start-/End Date: 2018-12-07 - 2018-12-09

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Source 1

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Title: BI 2018: Brain Informatics
Source Genre: Proceedings
 Creator(s):
Wang, S, Editor
Yamamoto, V, Editor
Su, J, Editor
Yang, Y, Editor
Jones, E, Editor
Iasemidis, L, Editor
Mitchell, T, Editor
Affiliations:
-
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: B223 Start / End Page: 109 - 118 Identifier: ISBN: 978-3-030-05586-8

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 11309 Sequence Number: - Start / End Page: - Identifier: -