SimBA

Note

These docs are under active development. For detailed tutorials, code, and more extensive documentation, see the SimBA GitHub repository.

💻 GitHub 📦 PyPI 📄 Paper 📑 Cite SimBA 💬 Gitter support 🎥 Watch the overview

🚀 INSTALLATION

To install SimBA from PyPI, run the following (use Python 3.6, or 3.10 if necessary):

pip install simba-uw-tf-dev

Then launch it by typing simba. For step-by-step setup — conda, Anaconda Navigator, or video walkthroughs — see the full installation guide:

⚙️ Full installation guide 📖 Install guide on GitHub

📑 HOW TO CITE SIMBA

If you use SimBA in your research, please cite:

Goodwin, N. L., Choong, J. J., Hwang, S., et al. (2024). Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience. Nature Neuroscience, 27, 1411–1424.

📄 Read the paper 🔗 DOI

BibTeX

@article{Goodwin_2024,
  title     = {Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience},
  author    = {Goodwin, Nastacia L. and Choong, Jia J. and Hwang, Sophia and Pitts, Kayla and Bloom, Liana and Islam, Aasiya and Zhang, Yizhe Y. and Szelenyi, Eric R. and Tong, Xiaoyu and Newman, Emily L. and Miczek, Klaus and Wright, Hayden R. and McLaughlin, Ryan J. and Norville, Zane C. and Eshel, Neir and Heshmati, Mitra and Nilsson, Simon R. O. and Golden, Sam A.},
  journal   = {Nature Neuroscience},
  volume    = {27},
  number    = {7},
  pages     = {1411--1424},
  year      = {2024},
  doi       = {10.1038/s41593-024-01649-9},
  url       = {https://doi.org/10.1038/s41593-024-01649-9},
  publisher = {Springer Science and Business Media LLC}
}