Different Spectral Representations in Optimized Artificial Neural Networks and Brains

This repository is the official implementation of Different Spectral Representations in Optimized Artificial Neural Networks and Brains.

Requirements

To install requirements:

pip install -r requirements.txt

Training

To train the models in the paper, run the script in the training folder:

python run.py

It will execute the code in train.py with all the hyperparameters that were used in the paper.

Evaluation

To evaluate the data and create the figures for the paper run the scripts figure1.py, figure2.py, ... in the evaluation folder.