Research data supporting "White-Matter Pathways for Statistical Learning of Temporal Structures"
Citation
Karlaftis, V., Wang Rui, Shen, Y., Tino, P., Williams, G., Welchman, A., & Kourtzi, Z. (2019). Research data supporting "White-Matter Pathways for Statistical Learning of Temporal Structures" [Dataset]. https://doi.org/10.17863/CAM.33379
Description
Behavioural data and DTI connectivity data (see supporting data description .doc file for more information)
Format
Matlab 2013a
FSL 5.0.8 (https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/)
IBM SPSS 25
JASP 0.8.6
Keywords
brain imaging, brain plasticity, diffusion tensor imaging, statistical learning, vision, basal ganglia, structural connectivity
Relationships
Related research output: https://doi.org/10.1523/ENEURO.0382-17.2018
Sponsorship
Wellcome Trust (095183/Z/10/Z)
European Commission (316746)
Wellcome Trust (205067/Z/16/Z)
European Commission (290011)
Alan Turing Institute (EP/N510129/1)
Biotechnology and Biological Sciences Research Council (BB/P021255/1)
Leverhulme Trust (RF-2011-378)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.33379
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
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