Marked Point Process Variational Autoencoder

A TensorFlow implementation of "Marked point process variational autoencoder with applications to unsorted spiking activities." The Python Notebook tutorial.ipynb demonstrates how to use this model.

Python Environment

The code in this repository works with tensorflow==2.12.0. The Dockerfile includes the details of the Docker image required to use this repository.

Reference

@article{Shibue2024MarkedPP,
    title={Marked point process variational autoencoder with applications to unsorted spiking activities},
    author={Ryohei Shibue and Tomoharu Iwata},
    journal={PLOS Computational Biology},
    year={2024},
    volume={20},
    url={https://api.semanticscholar.org/CorpusID:275141695}
}