**Emotionotopy**
Please refer to:
https://doi.org/10.1038/s41467-019-13599-z
**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 http://studyforrest.org/
*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
