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Analysis code implementing the fMRI encoding model of 66 SPoSE dimensions, and all other analyses in the paper.

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Distributed representations of behaviorally relevant object dimensions in the human visual system

This repository contains the analysis code used for the paper "Distributed representations of behaviorally relevant object dimensions in the human visual system." by O. Contier, Chris I. Baker, and Martin N. Hebart.

Installation

pip install --upgrade pip
pip install virtualenv
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
pip install -e .

Usage

Data

The analyses relie on the openly available THINGS-fMRI and behavioral data available on figshare. Further information on data download can be found in the THINGS-data paper.

Re-running analyses

Once the abovementioned data is installed into the ./data directory, the analyses presented in the manuscript can be re-run by executing the respective python-scripts in ./scripts.

While most of the analyses are feasible to run on a normal desktop computer or laptop, the parametric modulation model on the time series data (run_pmod.py) is memory intensive and likely only suited to run on computing clusters.

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Analysis code implementing the fMRI encoding model of 66 SPoSE dimensions, and all other analyses in the paper.

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