“…It is made available under a preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in The copyright holder for this this version posted December 15, 2020. ; https://doi.org/10.1101/2020.12.15.422942 doi: bioRxiv preprint 2008), where we estimate pRF position and size for each voxel in the brain under a Baseline condition as well as a condition of Interest (see Figure 1 for a single pRF). We can think of the Interest and Baseline conditions as repeat data (e.g., Benson et al, 2018;van Dijk, de Haas, Moutsiana, & Schwarzkopf, 2016), different attention conditions (e.g, de Haas, Schwarzkopf, Anderson, & Rees, 2014;Klein, Harvey, & Dumoulin, 2014;van Es, Theeuwes, & Knapen, 2018;Vo, Sprague, & Serences, 2017), mapping sequences (e.g., Binda, Thomas, Boynton, & Fine, 2013;Infanti & Schwarzkopf, 2020), mapping stimuli (e.g., Alvarez, de Haas, Clark, Rees, & Samuel Schwarzkopf, 2015;Binda et al, 2013;Le, Witthoft, Ben-Shachar, & Wandell, 2017;Yildirim, Carvalho, & Cornelissen, 2018), scotoma conditions (e.g., Barton & Brewer, 2015;Binda et al, 2013;Haak, Cornelissen, & Morland, 2012;Prabhakaran et al, 2020), pRF modeling techniques (e.g., Carvalho et al, 2020) or uni-and multisensory conditions (Holmes, 2009) -to name but a few examples. As a pRF model, we adopt a 2D Gaussian, where pRF position represents the center of a pRF in visual space (the center of the Gaussian) and pRF size its spatial extent (the standard deviation of the Gaussian; see Figure 1).…”