Michel Besserve

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Nikos LogothetisVisiting Professor of Neuroscience, Stanford UniversityVerified email at stanford.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
jacques martinerieCNRSVerified email at upmc.fr
Juan F Ramirez-VillegasPostdoctoral Fellow, Institute of Science and Technology (IST) AustriaVerified email at ist.ac.at
Theofanis PanagiotaropoulosInserm, NeuroSpinVerified email at cea.fr
Stefano PanzeriUniversity Medical Center Hamburg-Eppendorf (UKE), and Istituto Italiano di TecnologiaVerified email at iit.it
Vishal KapoorInternational Center for Primate Brain Research, ShanghaiVerified email at icpbr.ac.cn
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Shervin SafaviMax Planck Institute for Biological CyberneticsVerified email at tuebingen.mpg.de
Naji ShajarisalesMPI for Intelligent Systems, Carnegie Mellon UniversityVerified email at tuebingen.mpg.de
Rémy SunPhD Student at MLIA (Lip6, Sorbonne University) and Thales Land and Air SystemsVerified email at lip6.fr
Karim Jerbi, PhDComputational and Cognitive Neuroscience Lab (CoCo Lab), University of Montreal, QC, CanadaVerified email at umontreal.ca
Sylvain BailletProfessor & Canada Research Chair / Associate Dean, Research (Medicine & Health Sciences) McGillVerified email at mcgill.ca
Laurent Fprofesseur de radiologie, Université de BordeauxVerified email at chu-bordeaux.fr
Scott C LowePostdoctoral Research Fellow, Dalhousie UniversityVerified email at dal.ca
Jean-Philippe LachauxResearch Director - INSERM - LyonVerified email at inserm.fr
David BalduzziXTX MarketsVerified email at google.com
Pedro A. OrtegaGoogle - DeepMindVerified email at google.com
Andreas ToliasDepartment of Neuroscience, Baylor College of MedicineVerified email at cns.bcm.edu
Andreas BartelsUniversity of Tübingen ; Max Planck Institute for Biological CyberneticsVerified email at tuebingen.mpg.de

Michel Besserve

Max Planck Institute for Intelligent Systems

Verified email at tuebingen.mpg.de - Homepage

Machine Learning Causality Neuroscience Complex systems Information theory


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Hippocampal–cortical interaction during periods of subcortical silence NK Logothetis, O Eschenko, Y Murayama, M Augath, T Steudel, ... Nature 491 (7425), 547-553, 2012	345	2012
Classification methods for ongoing EEG and MEG signals M Besserve, K Jerbi, F Laurent, S Baillet, J Martinerie, L Garnero Biological research 40 (4), 415-437, 2007	121	2007
Towards a proper estimation of phase synchronization from time series M Chavez, M Besserve, C Adam, J Martinerie Journal of Neuroscience methods 154 (1-2), 149-160, 2006	91	2006
Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus-modulated information transfer M Besserve, SC Lowe, NK Logothetis, B Schölkopf, S Panzeri PLoS biology 13 (9), e1002257, 2015	79	2015
Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis M Besserve, B Schölkopf, NK Logothetis, S Panzeri Journal of computational neuroscience 29 (3), 547-566, 2010	78	2010
Diversity of sharp-wave–ripple LFP signatures reveals differentiated brain-wide dynamical events JF Ramirez-Villegas, NK Logothetis, M Besserve Proceedings of the National Academy of Sciences 112 (46), E6379-E6387, 2015	70	2015
Multimodal information improves the rapid detection of mental fatigue F Laurent, M Valderrama, M Besserve, M Guillard, JP Lachaux, ... Biomedical Signal Processing and Control 8 (4), 400-408, 2013	67	2013
Counterfactuals uncover the modular structure of deep generative models M Besserve, A Mehrjou, R Sun, B Schölkopf arXiv preprint arXiv:1812.03253, 2018	56	2018
Improving quantification of functional networks with EEG inverse problem: Evidence from a decoding point of view M Besserve, J Martinerie, L Garnero NeuroImage 55 (4), 1536-1547, 2011	50	2011
Telling cause from effect in deterministic linear dynamical systems N Shajarisales, D Janzing, B Schölkopf, M Besserve International Conference on Machine Learning, 285-294, 2015	48	2015
Prediction of performance level during a cognitive task from ongoing EEG oscillatory activities M Besserve, M Philippe, G Florence, F Laurent, L Garnero, J Martinerie Clinical neurophysiology 119 (4), 897-908, 2008	41	2008
Self-supervised learning with data augmentations provably isolates content from style J Von Kügelgen, Y Sharma, L Gresele, W Brendel, B Schölkopf, ... Advances in neural information processing systems 34, 16451-16467, 2021	38	2021
Group invariance principles for causal generative models M Besserve, N Shajarisales, B Schölkopf, D Janzing International Conference on Artificial Intelligence and Statistics, 557-565, 2018	35	2018
Decoding the contents of consciousness from prefrontal ensembles V Kapoor, A Dwarakanath, S Safavi, J Werner, M Besserve, ... BioRxiv, 2020	27	2020
Discrepancies between multi-electrode LFP and CSD phase-patterns: a forward modeling study R Hindriks, XD Arsiwalla, T Panagiotaropoulos, M Besserve, ... Frontiers in neural circuits 10, 51, 2016	22	2016
Dissecting the synapse-and frequency-dependent network mechanisms of in vivo hippocampal sharp wave-ripples JF Ramirez-Villegas, KF Willeke, NK Logothetis, M Besserve Neuron 100 (5), 1224-1240. e13, 2018	21	2018
Coupling of hippocampal theta and ripples with pontogeniculooccipital waves JF Ramirez-Villegas, M Besserve, Y Murayama, HC Evrard, A Oeltermann, ... Nature 589 (7840), 96-102, 2021	16	2021
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. M Besserve, NK Logothetis, B Schölkopf Advances in Neural Information Processing Systems 26, 2013	15	2013
Independent mechanism analysis, a new concept? L Gresele, J Von Kügelgen, V Stimper, B Schölkopf, M Besserve Advances in neural information processing systems 34, 28233-28248, 2021	13	2021
Non-invasive classification of cortical activities for brain computer interface: A variable selection approach M Besserve, J Martinerie, L Garnero 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008	13	2008

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