Predicting human brain fMRI activity from the images participants perceived in the Natural Scenes Dataset.
This repository is for competition in the 2032 Algonauts Challenge.
Please join the MedARC Discord to join our team as a volunteer contributor (join our weekly Monday meetings; see our weekly notes).
Download this repository: git clone https://github.com/MedARC-AI/fMRI-Algonauts-Challenge-2023.git
Get our webdataset implementation of the Algonauts Challenge training data. If you are on Stability HPC, it is located in /fsx/proj-medarc/fmri/natural-scenes-dataset/algonauts_data/wds. Otherwise, you need to download the NSD dataset yourself and then use src/algo_webdataset_creation.ipynb to convert it to webdataset format.
Run setup.sh to create a conda environment that contains the packages necessary to run our scripts; activate the environment with conda activate mindeye.
cd fMRI-Algonauts-Challenge-2023/src
. setup.sh
See train_decoder.ipynb
6 commits
1 commits
Jupyter Notebook
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Predicting human brain fMRI activity from the images participants perceived in the Natural Scenes Dataset.
This repository is for competition in the 2032 Algonauts Challenge.
Please join the MedARC Discord to join our team as a volunteer contributor (join our weekly Monday meetings; see our weekly notes).
Download this repository: git clone https://github.com/MedARC-AI/fMRI-Algonauts-Challenge-2023.git
Get our webdataset implementation of the Algonauts Challenge training data. If you are on Stability HPC, it is located in /fsx/proj-medarc/fmri/natural-scenes-dataset/algonauts_data/wds. Otherwise, you need to download the NSD dataset yourself and then use src/algo_webdataset_creation.ipynb to convert it to webdataset format.
Run setup.sh to create a conda environment that contains the packages necessary to run our scripts; activate the environment with conda activate mindeye.
cd fMRI-Algonauts-Challenge-2023/src
. setup.sh
See train_decoder.ipynb
6 commits
1 commits
Jupyter Notebook
99.0%
Python
1.0%