Toolkit for computer classification of behaviors in experimental animals

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License: GNU Lesser General Public License v3 (LGPLv3) (GNU Lesser General Public License v3 (LGPLv3))

Author: Simon Nilsson, Jia Jie Choong, Sophia Hwang

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Project description

SimBA (Simple Behavioral Analysis)

SimBA Splash

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:

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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License: GNU Lesser General Public License v3 (LGPLv3) (GNU Lesser General Public License v3 (LGPLv3))

Author: Simon Nilsson, Jia Jie Choong, Sophia Hwang

Classifiers

Release history Release notifications | RSS feed

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