Luca Pion-Tonachini 0d0083d380 Upload files to 'labels/crowd_labeling' 5 years ago
..
CLLDA.py 0d0083d380 Upload files to 'labels/crowd_labeling' 5 years ago
DS.py 0d0083d380 Upload files to 'labels/crowd_labeling' 5 years ago
MV.py 0d0083d380 Upload files to 'labels/crowd_labeling' 5 years ago
README.md 0d0083d380 Upload files to 'labels/crowd_labeling' 5 years ago
__init__.py 0d0083d380 Upload files to 'labels/crowd_labeling' 5 years ago
logratio_transformations.py 0d0083d380 Upload files to 'labels/crowd_labeling' 5 years ago

README.md

Crowd Labeling

Code to perform crowd labeling.

Supported languages:

  • Python
  • MATLAB (planned)

Supported algorithms:

  • Majority Vote
  • Dawid & Skene
  • Crowd Labeling Latent Dirichlet Allocation

Pull requests are welcome.

datacite.yml
Title The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features
Authors Pion-Tonachini,Luca;Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA and Department of Electrical and Computer Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA;https://orcid.org/0000-0002-4018-7776
Kreutz-Delgado,Ken;Department of Electrical and Computer Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA and Pattern Recognition Laboratory, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA
Makeig,Scott;Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA
Description A dataset of spatiotemporal features calculated of electroencephalographic (EEG) independent components (IC). Includes features from over 200,000 ICs. Crowdsourced labels exist for more than 8,000 ICs. A test set of 130 ICs has labels estimated from suggest classifications submitted by six expert human IC labelers.
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features [] (IsPartOf)
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website [] (IsSupplementTo)
Funding A gift from The Swartz Foundation (Old Field NY)
NSF GRFP DGE-1144086
NIH 2R01-NS047293-14A1
Keywords Neuroscience
Electrophysiology
EEG
ICA
Classification
Crowdsourcing
Resource Type Dataset