LPNE feature extraction and classification pipeline

Code for preprocessing and building models with local field potentials

See script.py for usage.

Installation

$ git clone https://github.com/carlson-lab/lpne.git
$ cd lpne
$ pip install .
$ pytest test # run tests
$ cd docs
$ make html # build docs

Then see docs/build/html/index.html for the docs.

Dependencies

• Python3 (3.7+)
• PyTorch 1.11+
• MoviePy (optional)

TO DO

9. Add a Tucker decomposition model
10. PoE?
11. Make some pre-zipped features and labels: make TST public
12. Movie app
13. mouse-specific intercepts
14. SMC for sampling label sequence posterior
15. Mouse-specific normalization options
16. Early stopping in GridSearchCV
17. [b,f,r,r] vs [b,r,r,f] shapes
18. automatic groups?
19. More agressive normalization options
20. Add strict channel map checking options
21. Add CSV version of CHANS files
22. save GridSearchCV with validation scores for each parameter setting
23. Also save confusion matrices for GridSearchCV
24. Add __all__ to files
25. Add more model.score options
26. Make pipeline app
27. Fix the docs bugs
28. Make segments files with onset, offset, and label