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**Emotionotopy** Please refer to: **Brief description of the directories** *behavioral_ratings/* Emotion ratings and the scripts to process and analyze them. The directory contains also scripts related to the processing of other models taken from Thornton, M. A., & Tamir, D. I. (2017) (10.1073/pnas.1616056114) and from Labs and colleagues, 2015 (10.12688/f1000research.6230.1) *lowlevel_models/* low-level acoustic (i.e., volume energy - RMS of the signal, power spectral features) and visual (i.e., Gabor contrast energy for 0.5 and 8 cyc/deg spatial frequencies for each frame, GIST descriptors) models to clean the fMRI timeseries *emotion_models/* From behavioral ratings we obtained two models: one based on the six basic emotions (happiness, surprise, fear, sadness, anger, disgust), and one obtained from a principal compontent analysis (polarity, complexity, intensity, PC#4, PC#5, PC#6). The directory contains also portrayed emotions alternative models taken form Labs and colleagues, 2015 (10.12688/f1000research.6230.1). The directory contains the scripts for the surrogate-based (IAAFT) analysis *fMRI_data/* Directory contains preprocessed fMRI timeseries. The raw data is available at *fMRI_encoding/* Encoding results and matlab scripts (Figure 3 in the manuscript) *fMRI_gradient/* Testing a gradient-like organization in right (and left) TPJ (Figure 4 & 5 in the manuscript) *pRF/* Data and results for the population receptive field analysis (Figure 6 in the manuscript) *matlab_functions/* & *external_matlab_functions/* Matlab functions called by scripts and needed to perform the analyses
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