Projects: pypi: autoreject
https://packages.ecosyste.ms/registries/pypi.org/packages/autoreject
Automated rejection and repair of epochs in M/EEG.
9 versions
Latest release: about 3 years ago
4 dependent packages
4,448 downloads last month
Enhanced Analysis
Educational Contributors:
pstetz@berkeley.edu
sik@visor.udg.edu
Repository Activity:
Repository Owner:
autoreject (organization)
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+40
Educational commit emails
2 contributors with educational email addresses
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-10
No science terms in description
No scientific terms found in description
Very Likely Science (100)
Papers Mentioning autoreject 6
10.3389/fnins.2018.00586
Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in PythonCited by: 22
Author(s): Marijn van Vliet, Mia Liljeström, Susanna Aro, Riitta Salmelin, Janne V. Kujala
Software Mentions: 3
Published: almost 8 years ago
10.7554/eLife.54055
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkersCited by: 60
Author(s): Denis A. Engemann, Oleh Kozynets, David Sabbagh, G Lemaître, Gaël Varoquaux, Franziskus Liem, Alexandre Gramfort
Software Mentions: 3
Published: about 6 years ago
10.1371/journal.pone.0222276
Individualized pattern recognition for detecting mind wandering from EEG during live lecturesCited by: 19
Author(s): Kiret Dhindsa, Anita Acai, Natalie Wagner, Dan Bosynak, Stephen Kelly, Mohit Bhandari, Brad Petrisor, Ranil Sonnadara
Software Mentions: 1
Published: almost 7 years ago
10.1016/j.dcn.2020.100901
Using magnetoencephalography to examine word recognition, lateralization, and future language skills in 14-month-old infantsCited by: 12
Author(s): Alexis Bosseler, Maggie Clarke, Kambiz Tavabi, Eric Larson, Daniel S. Hippe, Samu Taulu, Patricia K. Kuhl
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2021.552666
Contextual MEG and EEG Source Estimates Using Spatiotemporal LSTM NetworksCited by: 11
Author(s): Christoph Dinh, John Samuelsson, Alexander Hunold, Matti S. Hämäläinen, Sheraz Khan
Software Mentions: 1
Published: over 5 years ago
10.1523/ENEURO.0444-18.2019
MVPA Analysis of Intertrial Phase Coherence of Neuromagnetic Responses to Words Reliably Classifies Multiple Levels of Language Processing in the BrainCited by: 8
Author(s): Mads Jensen, Rasha Hyder, Yury Shtyrov
Software Mentions: 1
Published: almost 7 years ago