Published July 19, 2023
| Version v1
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DeepOF: a Python package for supervised and unsupervised pattern recognition in mice motion tracking data
- 1. Research Group Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
- 2. Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, Munich, Germany
Description
DeepOF (Deep Open Field) is a Python package that provides a suite of tools for analysing behaviour in freely-moving rodents. Specifically, it focuses on post-processing time-series data extracted from videos using DeepLabCut (Mathis et al., 2018). This paper included code and functionality peer-review, which we think is an important milestone for our package moving forward.
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10.21105.joss.05394.pdf
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