Title: Brain-decoding fMRI reveals how wholes relate to the sum of parts
Authors: Kubilius, Jonas
Baeck, Annelies
Wagemans, Johan
Op de Beeck, Hans # ×
Issue Date: Nov-2015
Publisher: Masson
Series Title: Cortex vol:72 pages:5-14
Abstract: The human brain performs many nonlinear operations in order to extract relevant information from local inputs. How can we observe and quantify these effects within and across large patches of cortex? In this paper, we discuss the application of multi-voxel pattern analysis (MVPA) in functional magnetic resonance imaging to this issue. Specifically, we show how MVPA (i) allows to compare various possibilities of part combinations into wholes, such as taking the mean, weighted mean, or the maximum of responses to the parts; (ii) can be used to quantify the parameters of these combinations; and (iii) can be applied in various experimental paradigms. Through these procedures fMRI helps to obtain a computational understanding of how local information is integrated into larger wholes in various cortical regions.
Description: Statement of Open Science. Figures in this paper have been produced using free and open source tools, including Python, matplotlib, seaborn, and Inkscape.
ISSN: 0010-9452
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Laboratory for Biological Psychology
Laboratory for Experimental Psychology
× corresponding author
# (joint) last author

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