ludekcizinsky / fMRI-dimensionality-reduction

In this project, we investigate use of various methods, including PCA, for dimensionality reduction of fMRI data.

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🔬 About

In this project, we investigate use of various methods, including PCA, for dimensionality reduction of 🧠 fMRI data. To reproduce our results, please follow the instructions below.

🔮 Get started

Virtual environment setup (optional)

We recommend using conda to manage your python environment. To create a new environment, run the following command:

conda create -n nssp_p2gL python=3.10

And then activate the environment:

conda activate nssp_p2gL

Install required packages

To install the required packages, using conda, run the following command:

conda install --file requirements.txt

Otherwise, using pip, run the following command:

pip install -r requirements.txt

About

In this project, we investigate use of various methods, including PCA, for dimensionality reduction of fMRI data.


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