AccuSleePy is a python implementation of AccuSleep--a set of graphical user interfaces for scoring rodent sleep using EEG and EMG recordings. It offers several improvements over the original MATLAB version and is the only version that will be actively maintained.
If you use AccuSleep in your research, please cite our publication:
Barger, Z., Frye, C. G., Liu, D., Dan, Y., & Bouchard, K. E. (2019). Robust, automated sleep scoring by a compact neural network with distributional shift correction. PLOS ONE, 14(12), 1–18.
The data and models associated with AccuSleep are available at https://osf.io/py5eb/
Please contact zekebarger (at) gmail (dot) com with any questions or comments about the software.
- (recommended) create a new virtual environment (using venv, conda, etc.) using python >=3.10,<3.13
- (optional) if you have a CUDA device and want to speed up model training, install PyTorch
pip install accusleepy- (optional) download a classification model from https://osf.io/py5eb/ under /python_format/models/
python -m accusleepy will open the primary interface.
Primary interface
Manual scoring interface
We would like to thank Franz Weber for creating an early version of the manual labeling interface. Jim Bohnslav's deepethogram served as an incredibly useful reference when reimplementing this project in python.