Spike-based-Digital-Brain

We are actively building this repository. Stay tuned!

Data availability statement

The data is not publicly available due to permission reasons. The data are available from the corresponding author on reasonable request.

Requirements

This project was implemented on Python 3.8 and snnTorch. Ensure the correct version of torch is installed for your system to enable CUDA compatibility.

Install this project using pip:

pip install snntorch

Reference

• [1]Paper

Dong, Zijian, et al. "Brain-jepa: Brain dynamics foundation model with gradient positioning and spatiotemporal masking." Advances in Neural Information Processing Systems 37 (2024): 86048-86073.

• [2]Paper

Assran, Mahmoud, et al. "Self-supervised learning from images with a joint-embedding predictive architecture." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2023.

• [3]Paper

Eshraghian, Jason K., et al. "Training spiking neural networks using lessons from deep learning." Proceedings of the IEEE 111.9 (2023): 1016-1054.

Acknowledgement

Our codebase builds heavily on I-JEPA, SNN and snnTorch.

Thanks for the opensourcing!