Jean-Rémi KING

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Stanislas DehaeneProfessor of Experimental Cognitive Psychology, Collège de FranceAdresse e-mail validée de cea.fr
Lionel NaccacheSorbonne University / APHP / INSERM / ICMAdresse e-mail validée de upmc.fr
Jacobo Diego Sitt, M.D., PhDParis Brain Institute (ICM), INSERM, ICM institute, Pitie-Salpetriere HospitalAdresse e-mail validée de icm-institute.org
Alexandre GramfortINRIA, Univ. Paris-SaclayAdresse e-mail validée de inria.fr
Benjamin Rohaut, M.D., Ph.D.Sorbonne University, Institut du Cerveau et de la Moelle épinière (ICM), Pitié-Salpêtrière HospitalAdresse e-mail validée de icm-institute.org
Laurent CohenHôpital de la Salpêtrière, ICM research center, ParisAdresse e-mail validée de psl.aphp.fr
Denis A. EngemannSenior Scientist, Biomarker and Experimental Medicine Leader, F Hoffman-La Roche LtdAdresse e-mail validée de roche.com
Laura GwilliamsUniversity of California, San FranciscoAdresse e-mail validée de ucsf.edu
Lucie CharlesPost-Doctoral Fellow of the British Academy, ICN, University College LondonAdresse e-mail validée de ucl.ac.uk
Seb MartiCognitive Neuroimaging unit, NeuroSpin CEA SaclayAdresse e-mail validée de cea.fr
Mélanie StraussCenter for Research in Cognition and Neurosciences (CRCN), Université Libre de BruxellesAdresse e-mail validée de ulb.ac.be
Tristan A. BekinschteinAssociate Professor, Consciousness and Cognition Lab, Dept of Psychology, Uni of CambridgeAdresse e-mail validée de cam.ac.uk
Federico RaimondoForschungszentrum Jülich, Heinrich-Heine-Universität DüsseldorfAdresse e-mail validée de fz-juelich.de
Virginie van WassenhoveCEA, DRF/Joliot, NeuroSpin; INSERM, Cognitive Neuroimaging Unit; CNRS; Univ. Paris-SaclayAdresse e-mail validée de cea.fr
Aaron SchurgerChapman UniversityAdresse e-mail validée de chapman.edu
Catherine WacongneAI scientist at AnotherBrainAdresse e-mail validée de cea.fr
Nilli LavieInstitute of Cognitive Neuroscience, UCLAdresse e-mail validée de ucl.ac.uk
Nikos KonstantinouCyprus University of TechnologyAdresse e-mail validée de cut.ac.cy
Dora HermesAssistant Professor in Physiology and Biomedical Engineering, Mayo ClinicAdresse e-mail validée de mayo.edu
Josef ParviziStanford UniversityAdresse e-mail validée de stanford.edu

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Jean-Rémi KING

Meta AI, CNRS, École Normale Supérieure

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Human cognition artificial intelligence decoding meg


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Characterizing the dynamics of mental representations: the temporal generalization method JR King, S Dehaene Trends in cognitive sciences 18 (4), 203-210, 2014	570	2014
Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state JD Sitt, JR King, I El Karoui, B Rohaut, F Faugeras, A Gramfort, L Cohen, ... Brain 137 (8), 2258-2270, 2014	382	2014
Toward a computational theory of conscious processing S Dehaene, L Charles, JR King, S Marti Current opinion in neurobiology 25, 76-84, 2014	327	2014
Information sharing in the brain indexes consciousness in noncommunicative patients JR King, JD Sitt, F Faugeras, B Rohaut, I El Karoui, L Cohen, L Naccache, ... Current Biology 23 (19), 1914-1919, 2013	256	2013
Detection of brain activation in unresponsive patients with acute brain injury J Claassen, K Doyle, A Matory, C Couch, KM Burger, A Velazquez, ... New England Journal of Medicine 380 (26), 2497-2505, 2019	189	2019
Disruption of hierarchical predictive coding during sleep M Strauss, JD Sitt, JR King, M Elbaz, L Azizi, M Buiatti, L Naccache, ... Proceedings of the National Academy of Sciences 112 (11), E1353-E1362, 2015	169	2015
Robust EEG-based cross-site and cross-protocol classification of states of consciousness DA Engemann, F Raimondo, JR King, B Rohaut, G Louppe, F Faugeras, ... Brain 141 (11), 3179-3192, 2018	159	2018
Brain mechanisms underlying the brief maintenance of seen and unseen sensory information JR King, N Pescetelli, S Dehaene Neuron 92 (5), 1122-1134, 2016	159	2016
Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness JR King, F Faugeras, A Gramfort, A Schurger, I El Karoui, JD Sitt, ... Neuroimage 83, 726-738, 2013	152	2013
Distinct cortical codes and temporal dynamics for conscious and unconscious percepts M Salti, S Monto, L Charles, JR King, L Parkkonen, S Dehaene Elife 4, e05652, 2015	94	2015
Working memory load and distraction: dissociable effects of visual maintenance and cognitive control N Konstantinou, E Beal, JR King, N Lavie Attention, Perception, & Psychophysics 76 (7), 1985-1997, 2014	93	2014
A theory of working memory without consciousness or sustained activity D Trübutschek, S Marti, A Ojeda, JR King, Y Mi, M Tsodyks, S Dehaene Elife 6, e23871, 2017	92	2017
Probing ERP correlates of verbal semantic processing in patients with impaired consciousness B Rohaut, F Faugeras, N Chausson, JR King, I El Karoui, L Cohen, ... Neuropsychologia 66, 279-292, 2015	91	2015
Event-related potential, time-frequency, and functional connectivity facets of local and global auditory novelty processing: an intracranial study in humans I El Karoui, JR King, J Sitt, F Meyniel, S Van Gaal, D Hasboun, C Adam, ... Cerebral cortex 25 (11), 4203-4212, 2015	78	2015
Two distinct dynamic modes subtend the detection of unexpected sounds JR King, A Gramfort, A Schurger, L Naccache, S Dehaene PloS one 9 (1), e85791, 2014	78	2014
Decoding the dynamics of action, intention, and error detection for conscious and subliminal stimuli L Charles, JR King, S Dehaene Journal of neuroscience 34 (4), 1158-1170, 2014	75	2014
A model of subjective report and objective discrimination as categorical decisions in a vast representational space JR King, S Dehaene Philosophical Transactions of the Royal Society B: Biological Sciences 369 …, 2014	72	2014
Time-resolved decoding of two processing chains during dual-task interference S Marti, JR King, S Dehaene Neuron 88 (6), 1297-1307, 2015	69	2015
Opportunities and challenges for a maturing science of consciousness M Michel, D Beck, N Block, H Blumenfeld, R Brown, D Carmel, ... Nature human behaviour 3 (2), 104-107, 2019	62	2019
Machine learning for COVID-19 needs global collaboration and data-sharing N Peiffer-Smadja, R Maatoug, FX Lescure, E D’ortenzio, J Pineau, ... Nature Machine Intelligence 2 (6), 293-294, 2020	44	2020

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