CURBD with NeuroTorch

This code is used to reproduce the results of the CURBD repository (https://github.com/rajanlab/CURBD) associated with the paper Inferring brain-wide interactions using data-constrained recurrent neural network models from Matthew G. Perich and al. using the NeuroTorch library.

Installation

To run the code, you need to install the requirements in requirements.txt.

pip install -r requirements.txt

Usage

Then, you can run the code by running the following command:

python main.py

Structure of the repository

The repository is structured as follows:

• main.py: main file to run the code
• curbd_dataset.py: dataset class to construct the curbd synthetic dataset
• curbd_training.py: training function
• figures_script.py: script with functions to generate the figures
• utils.py: utility functions
• ts_dataset.py: dataset class to construct a time series dataset from a npy file
• main_other_dataset.py: main file to run the code on other datasets