Measures of repetition suppression in the fusiform face area are inflated by co-occurring effects of statistically learned visual associations

doi:10.17605/OSF.IO/AKYGB

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This repository contains data and code relating to "ABAX" project. This project is focused on investigating effects of statistically-learned associations between pairs of images, and how the effects of such associations may influence measures of fMRI repetition suppression. This project is a collaboration between Sophie Rostalski and Gyula Kovacs (University of Jena), Catarina Amado (University of Tübingen) and Daniel Feuerriegel (The University of Melbourne). Data and code necessary for reproducing analyses will be made publicly available upon publication of the corresponding journal article. The preprint of the manuscript corresponding to this dataset can be accessed at https://www.biorxiv.org/content/10.1101/803163v1

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