ReptiLearn is an open-source software system for building automated behavioral arenas, running closed-loop experiments based on realtime video analysis, and collecting behavioral data.
ReptiLearn was created to help us run continuous, long-term, learning experiments tailored to the specific needs and challenges posed by reptile model animals.
- Synchronized video recording and real-time analysis from multiple video sources
- Control of various arena hardware components such as temperature sensors, lighting, and reward feeders
- Automate and run closed-loop behavioral experiments
- Web based interface for remote monitoring and control
- Highly extendable. Written purely in Python.
- Getting started
- Building an arena
- Camera configuration
- Setting up the arena controller
- Programming experiments
💫 For more information check out our paper
If you use ReptiLearn for your research please cite us!
@article{10.1371/journal.pbio.3002411,
doi = {10.1371/journal.pbio.3002411},
author = {Eisenberg, Tal AND Shein-Idelson, Mark},
journal = {PLOS Biology},
publisher = {Public Library of Science},
title = {ReptiLearn: An automated home cage system for behavioral experiments in reptiles without human intervention},
year = {2024},
month = {02},
volume = {22},
url = {https://doi.org/10.1371/journal.pbio.3002411},
pages = {1-27},
number = {2},
}