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lpne's Introduction

LPNE feature extraction and classification pipeline

Code for preprocessing and building models with local field potentials

License: MIT Code style: black

See feature_pipeline.py and prediction_pipeline.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

TO DO

  1. Add a Tucker decomposition model
  2. PoE?
  3. Manually remove regions from LFPs
  4. Make some pre-zipped features and labels
  5. Add random seeds?
  6. Movie app
  7. from joblib import Parallel, delayed
  8. mouse-specific intercepts
  9. SMC for sampling label sequence posterior
  10. Mouse-specific normalization options
  11. Group Lasso?
  12. Early stopping in GridSearchCV
  13. [b,f,r,r] vs [b,r,r,f] shapes
  14. automatic groups?
  15. Save smoothed labels
  16. More agressive normalization options

lpne's People

Contributors

jackgoffinet avatar mhunterklein avatar

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