Code to reproduce results in:
Quantifying the behavioral dynamics of C. Elegans with autoregressive hidden Markov models
by E. Kelly Buchanan, Akiva Lipschitz, Scott Linderman and Liam Paninski
presented at Worm's Neural Information Processing (WNIP) Workshop
at Neural Information Processing Systems (NIPS), 2017.
List of input files:
- andre_ftp_matfiles.txt : List of files
Jupyter Notebooks:
- Paper_figures : Make plots from results
Run Experiments (run between F3 and F4):
- fit_worm10.py :
Helper functions:
- preprocessing.py
- tmputil.py
- tmputil_plots.py
Results directory:
- results_strains/
- E. Kelly Buchanan - Initial work
- Scott Linderman - Initial work - PyHSMM-spiketrains
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE.md file for details
- Andre Brown for providing the data.