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. 2019 Mar 16;29(5):2279–2290. doi: 10.1093/cercor/bhz043

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© The Author(s) 2019. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 5. — A. Bar chart showing the linear (between-subject) effect of raw KBIT-2 score on intrinsic self-inhibition for each node in the network of the winning model (allowing for changes in intrinsic self-inhibition alone; shown bottom right). Bayesian confidence intervals indicate that the effects estimated with most certainty are located at right V1. B. Scatter graph showing inverse correlation between raw KBIT-2 score and mean V1 (left V1 and right V1 average) intrinsic inhibition of the winning model (i.e., the model with the highest model evidence in model space).