Michel Besserve
Michel Besserve
Max Planck Institute for Intelligent Systems
Geverifieerd e-mailadres voor tuebingen.mpg.de - Homepage
Geciteerd door
Geciteerd door
Hippocampal–cortical interaction during periods of subcortical silence
NK Logothetis, O Eschenko, Y Murayama, M Augath, T Steudel, ...
Nature 491 (7425), 547-553, 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
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
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
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
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
Counterfactuals uncover the modular structure of deep generative models
M Besserve, A Mehrjou, R Sun, B Schölkopf
International Conference on Learning Representations (ICLR), 2020
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, 547-566, 2010
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
Decoding internally generated transitions of conscious contents in the prefrontal cortex without subjective reports
V Kapoor, A Dwarakanath, S Safavi, J Werner, M Besserve, ...
Nature Communications, 2022
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
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
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
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
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
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
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
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
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
A theory of independent mechanisms for extrapolation in generative models
M Besserve, R Sun, D Janzing, B Schölkopf
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6741-6749, 2021
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