pyratlib 0.7.7

PyRat is a user friendly library in python to analyze data from the DeepLabCut. Developed to help researchers unfamiliar with programming can perform animal behavior analysis more simpler.

PyRat - Python in Rodent Analysis and Tracking

---

PyRat is a user friendly library in python to analyze data from the DeepLabCut. Developed to help researchers unfamiliar with programming can perform animal behavior analysis more simpler.

Installation

---

The latest stable release is available on PyPi, and you can install it by saying

pip install pyratlib

Anaconda users can install using conda-forge:

conda install -c conda-forge pyratlib

To build PyRat from source, say python setup.py build. Then, to install PyRat, say python setup.py install. If all went well, you should be able to execute the demo scripts under examples/ (OS X users should follow the installation guide given below).

Alternatively, you can download or clone the repository and use pip to handle dependencies:

unzip pyratlib.zip
pip install -e pyratlib

or

git clone https://github.com/pyratlib/pyrat.git
pip install -e pyratlib

By calling pip list you should see pyrat now as an installed package:

pyrat (0.x.x, /path/to/pyratlib)

Data

---

The data is available on Zenodo

Examples

---

• Basic Usage
• Behavior Classification
• Behavior Classification of multiple videos
• Metrics in mice
• Neural Data example

References:

---

If you use our code we kindly as that you please cite De Almeida et al, 2022 and, if you use the dataset please also cite De Almeida et al, 2021.

• De Almeida et al, 2022: https://doi.org/10.3389/fnins.2022.779106
• De Almeida et al, 2021: 10.5281/zenodo.5883277

Please check out the following references for more details:

@article{deAlmeida2022,
  title        = {PyRAT: An open source-python library for fast and robust animal behavior analysis and neural data synchronization},
  author       = {De Almeida, Tulio Fernandes and 
                  Spinelli, Bruno Guedes and 
                  Hypolito Lima, Ram{\'o}n and 
                  Gonzalez, Maria Carolina and 
                  Rodrigues, Abner Cardoso},
  journal      = {Frontiers in Neuroscience},
  pages        = {505},
  publisher    = {Frontiers}
}

@dataset{deAlmeida2021,
  title        = {PyRAT-data-example},
  author       = {Almeida, Túlio and
                  Spinelli, Bruno and
                  Gonzalez, Maria Carolina and
                  Lima, Ramón and
                  Rodrigues, Abner},
  month        = sep,
  year         = 2021,
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.5883277},
  url          = {https://doi.org/10.5281/zenodo.5883277}
}

Development Team:

---

• Tulio Almeida - GitHub - Google Scholar - Site
• Bruno Spinelli - GitHub - Google Scholar
• Ramon Hypolito - GitHub - Google Scholar
• Maria Carolina Gonzalez - GitHub - Google Scholar
• Abner Rodrigues - GitHub - Google Scholar