Arnaud Delorme
Arnaud Delorme
CNRS, UCSD, Paul Sabatier university, CerCo, TMBI, Institute of Noetic Sciences
Adresă de e-mail confirmată pe ucsd.edu - Pagina de pornire
Citat de
Citat de
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
A Delorme, S Makeig
Journal of neuroscience methods 134 (1), 9-21, 2004
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
A Delorme, T Sejnowski, S Makeig
Neuroimage 34 (4), 1443-1449, 2007
Mining event-related brain dynamics
S Makeig, S Debener, J Onton, A Delorme
Trends in cognitive sciences 8 (5), 204-210, 2004
Spike-based strategies for rapid processing
S Thorpe, A Delorme, R Van Rullen
Neural networks 14 (6-7), 715-725, 2001
Frontal midline EEG dynamics during working memory
J Onton, A Delorme, S Makeig
Neuroimage 27 (2), 341-356, 2005
Independent EEG sources are dipolar
A Delorme, J Palmer, J Onton, R Oostenveld, S Makeig
PloS one 7 (2), e30135, 2012
EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing
A Delorme, T Mullen, C Kothe, Z Akalin Acar, N Bigdely-Shamlo, ...
Computational intelligence and neuroscience 2011 (1), 130714, 2011
A limit to the speed of processing in ultra-rapid visual categorization of novel natural scenes
M Fabre-Thorpe, A Delorme, C Marlot, S Thorpe
Journal of cognitive neuroscience 13 (2), 171-180, 2001
Lost in thoughts: neural markers of low alertness during mind wandering
C Braboszcz, A Delorme
Neuroimage 54 (4), 3040-3047, 2011
Electroencephalographic brain dynamics following manually responded visual targets
S Makeig, A Delorme, M Westerfield, TP Jung, J Townsend, ...
PLoS biology 2 (6), e176, 2004
What is novel in the novelty oddball paradigm? Functional significance of the novelty P3 event-related potential as revealed by independent component analysis
S Debener, S Makeig, A Delorme, AK Engel
Cognitive Brain Research 22 (3), 309-321, 2005
Occipital gamma activation during Vipassana meditation
BR Cahn, A Delorme, J Polich
Cognitive processing 11, 39-56, 2010
Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials
R Grandchamp, A Delorme
Frontiers in psychology 2, 236, 2011
EEG-BIDS, an extension to the brain imaging data structure for electroencephalography
CR Pernet, S Appelhoff, KJ Gorgolewski, G Flandin, C Phillips, A Delorme, ...
Scientific data 6 (1), 103, 2019
SpikeNET: A simulator for modeling large networks of integrate and fire neurons
A Delorme, J Gautrais, R Van Rullen, S Thorpe
Neurocomputing 26, 989-996, 1999
Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes
A Delorme, GA Rousselet, MJM Macé, M Fabre-Thorpe
Cognitive Brain Research 19 (2), 103-113, 2004
Ultra-rapid categorisation of natural scenes does not rely on colour cues: a study in monkeys and humans
A Delorme, G Richard, M Fabre-Thorpe
Vision research 40 (16), 2187-2200, 2000
Automatic artifact rejection for EEG data using high-order statistics and independent component analysis
A Delorme, S Makeig, T Sejnowski
Proceedings of the third international ICA conference, 9-12, 2001
Face identification using one spike per neuron: resistance to image degradations
A Delorme, SJ Thorpe
Neural Networks 14 (6-7), 795-803, 2001
Eeglab–an open source matlab toolbox for electrophysiological research
C Brunner, A Delorme, S Makeig
Biomedical Engineering/Biomedizinische Technik 58 (SI-1-Track-G …, 2013
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