Toolkit for computer classification and analysis of behaviors in experimental animals
Project description
SimBA (Simple Behavioral Analysis)
SimBA (Simple Behavioral Analysis) is a platform for analyzing behaviors of experimental animals within video recordings.
More Information
See below for raison d'être, detailed API, tutorials, data, documentation, support, and walkthroughs:
- GitHub: https://github.com/sgoldenlab/simba
- Documentation readthedocs: https://simba-uw-tf-dev.readthedocs.io/en/latest/
- API: https://simba-uw-tf-dev.readthedocs.io/en/latest/api.html
- Gitter Chat: https://app.gitter.im/#/room/#SimBA-Resource_community:gitter.im
- bioRxiv preprint: https://www.biorxiv.org/content/10.1101/2020.04.19.049452v2
- Nature Neuroscience paper: https://www.nature.com/articles/s41593-024-01649-9
- Open Science Framework (OSF) data buckets: https://osf.io/tmu6y/
Installation
To install SimBA, use the following command:
pip install simba-uw-tf-dev
Citation
If you use the code, please cite:
@article{Nilsson2020.04.19.049452,
author = {Nilsson, Simon RO and Goodwin, Nastacia L. and Choong, Jia Jie and Hwang, Sophia and Wright, Hayden R and Norville, Zane C and Tong, Xiaoyu and Lin, Dayu and Bentzley, Brandon S. and Eshel, Neir and McLaughlin, Ryan J and Golden, Sam A.},
title = {Simple Behavioral Analysis (SimBA) – an open source toolkit for computer classification of complex social behaviors in experimental animals},
elocation-id = {2020.04.19.049452},
year = {2020},
doi = {10.1101/2020.04.19.049452},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2020/04/21/2020.04.19.049452},
eprint = {https://www.biorxiv.org/content/early/2020/04/21/2020.04.19.049452.full.pdf},
journal = {bioRxiv}
}
Licence
SimBA is licensed under GNU Lesser General Public License v3.0.
Contributors
Contributers on Github https://github.com/sgoldenlab/simba#contributors
Project details
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