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Denis A Engemann

Showing results (1-10 of 21) with videos related to

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Neuroimage|December 27, 2014
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signalsDenis A Engemann, Alexandre Gramfort
Patterns (New York, N.Y.)|April 4, 2025
GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signalsJoseph Paillard, Jörg F Hipp, Denis A Engemann
Neuroimage|May 23, 2020
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive statesDavid Sabbagh, Pierre Ablin, Gaël Varoquaux, et al.
Scientific Reports|August 12, 2016
Clustered marginalization of minorities during social transitions induced by co-evolution of behaviour and network structureCarl-Friedrich Schleussner, Jonathan F Donges, Denis A Engemann, et al.
Neuroimage|June 25, 2017
Autoreject: Automated artifact rejection for MEG and EEG dataMainak Jas, Denis A Engemann, Yousra Bekhti, et al.
Frontiers in Human Neuroscience|June 8, 2012
Games people play-toward an enactive view of cooperation in social neuroscienceDenis A Engemann, Danilo Bzdok, Simon B Eickhoff, et al.
Child Development|October 22, 2013
Children's norm enforcement in their interactions with peersBahar Köymen, Elena Lieven, Denis A Engemann, et al.
Elife|May 20, 2020
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkersDenis A Engemann, Oleh Kozynets, David Sabbagh, et al.
Neuroimage|December 20, 2016
Assessing and tuning brain decoders: Cross-validation, caveats, and guidelinesGaël Varoquaux, Pradeep Reddy Raamana, Denis A Engemann, et al.
Frontiers in Neuroscience|August 22, 2018
A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good PracticesMainak Jas, Eric Larson, Denis A Engemann, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Neuroimage|December 27, 2014
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signalsDenis A Engemann, Alexandre Gramfort
Patterns (New York, N.Y.)|April 4, 2025
GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signalsJoseph Paillard, Jörg F Hipp, Denis A Engemann
Neuroimage|May 23, 2020
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive statesDavid Sabbagh, Pierre Ablin, Gaël Varoquaux, et al.
Scientific Reports|August 12, 2016
Clustered marginalization of minorities during social transitions induced by co-evolution of behaviour and network structureCarl-Friedrich Schleussner, Jonathan F Donges, Denis A Engemann, et al.
Neuroimage|June 25, 2017
Autoreject: Automated artifact rejection for MEG and EEG dataMainak Jas, Denis A Engemann, Yousra Bekhti, et al.
Frontiers in Human Neuroscience|June 8, 2012
Games people play-toward an enactive view of cooperation in social neuroscienceDenis A Engemann, Danilo Bzdok, Simon B Eickhoff, et al.
Child Development|October 22, 2013
Children's norm enforcement in their interactions with peersBahar Köymen, Elena Lieven, Denis A Engemann, et al.
Elife|May 20, 2020
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkersDenis A Engemann, Oleh Kozynets, David Sabbagh, et al.
Neuroimage|December 20, 2016
Assessing and tuning brain decoders: Cross-validation, caveats, and guidelinesGaël Varoquaux, Pradeep Reddy Raamana, Denis A Engemann, et al.
Frontiers in Neuroscience|August 22, 2018
A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good PracticesMainak Jas, Eric Larson, Denis A Engemann, et al.
Pageof 3