Python Ball Motion Tracking (pymbt) is a python interface for running Richard J. Moore's FicTrac in a closed-loop manner - it facilitates behavioral and neural recording experiments that involve head-fixed flies walking on a spherical treadmill (ball), and uses the motion of the ball to modulate various outputs (e.g., the delivery of stimuli). pybmt allows researchers to easilly run FicTrac from a python program and allow ball tracking information to be processed in real time for closed-loop experiments. Since pybmt is not a replacement for FicTrac, the user is expected to be experienced with configuring and calibrating FicTrac. This code handles all the details of spawning, managing, and communicating the state of FicTrac, using a simple python based API. It is a useful tool for researchers wishing to build their closed-loop experiments in python.
These instructions will get pybmt running on your local machine for development and testing purposes.
pybmt requires Python 3.6+ and a working version of FicTrac to be present on the system. IMPORTANT! Currently, the only supported version of FicTrac is our forked version of FicTrac Version 2.0. Check the releases page for pre-built binaries for your system. We hope to have these changes merged into the upstream FicTrac GitHub repo soon.
Below are instructions for installing our version of FicTrac on your system.
Download our custom pre-built version of FicTrac here. Extract the archive and add the resultant folder to your system path.
Coming soon ...
To install pybmt:
git clone https://github.com/murthylab/pybmt.git
cd pybmt
pip install .
To run a quick demo:
cd example
python run_example.py
To implement your own closed-loop experiment logic take a look and run_example.py and pybmt/callback/threshold_callback.py. The basic idea is that you need to create a new class that inherits from `pybmt.callback.P
We use SemVer for versioning. For the versions available, see the tags on this repository.
- David Turner and David Deutsch - Murthy Lab, Princeton Neuroscience Institute, and Princeton University
See also the list of contributors to the code.
This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License - see the LICENSE file for details.
If you use pybmt and FicTrac as part of your research, please acknowledge David Turner, David Deutsch, and Mala Murthy (Princeton Neuroscience Institute), and also cite the original FicTrac publication:
RJD Moore, GJ Taylor, AC Paulk, T Pearson, B van Swinderen, MV Srinivasan (2014). "FicTrac: a visual method for tracking spherical motion and generating fictive animal paths", Journal of Neuroscience Methods, Volume 225, 30th March 2014, Pages 106-119. [J. Neuroscience Methods link] [Preprint (pdf) link]
- Richard Moore - author of FicTrac