Michel Besserve
Michel Besserve
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
Counterfactuals uncover the modular structure of deep generative models
M Besserve, A Mehrjou, R Sun, B Schölkopf
arXiv preprint arXiv:1812.03253, 2018
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
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
Decoding the contents of consciousness from prefrontal ensembles
V Kapoor, A Dwarakanath, S Safavi, J Werner, M Besserve, ...
BioRxiv, 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
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, 2535-2543, 2013
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
Towards a learning-theoretic analysis of spike-timing dependent plasticity
D Balduzzi, M Besserve
arXiv preprint arXiv:1209.5549, 2012
Cross-Spectral Discriminant Analysis (CSDA) for the classification of Brain Computer Interfaces.
M Besserve, L Garnero, J Martinerie
2007 3rd International IEEE/EMBS Conference on Neural Engineering, 375-378, 2007
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
J von Kügelgen, Y Sharma, L Gresele, W Brendel, B Schölkopf, ...
arXiv preprint arXiv:2106.04619, 2021
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