An easy-to-use app that automatically sleep scores and provides interactive visualization for EEG, EMG, and/or Norepinephrine recordings of mice.
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Updated
Feb 27, 2025 - Python
An easy-to-use app that automatically sleep scores and provides interactive visualization for EEG, EMG, and/or Norepinephrine recordings of mice.
Source code for the paper "Automatic Actigraphy and Polysomnography Sleep Scoring using Deep Learning".
Class wrapper of the yasa package to detect drowsiness/sleep phase using EEG data
Codes related to the paper "Attention-Based CNN-BiLSTM for Sleep States Classification of Spatiotemporal Wide-Field Calcium Imaging Data"
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty Estimates
A toolbox for sleep data analysis and sleep stage classification
Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"
EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
Automatically score rodent sleep using EEG and EMG recordings
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
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