Handbook of mathematical functions with formulas, graphs, and mathematical tables, National Bureau of Standards Applied Mathematics Series. U.S. Government Printing Office, vol.55, 1964. ,
Information theory and an extension of the maximum likelihood principle, 2nd International Symposium on Information Theory, pp.267-281, 1973. ,
A variational Bayesian framework for graphical models, Advances in neural information processing systems, pp.209-215, 2000. ,
Variational Bayesian learning of directed graphical models with hidden variables, Bayesian Analysis, vol.1, issue.4, pp.793-832, 2006. ,
DOI : 10.1214/06-BA126
Novel Simple Forms for Multivariate Rayleigh and Rician Distributions with Generalized Correlation, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, pp.2010-2011, 2010. ,
DOI : 10.1109/GLOCOM.2010.5683590
Controlling the false discovery rate : a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society. Series B (Methodological), vol.57, pp.289-300, 1995. ,
The control of the false discovery rate in multiple testing under dependency, Annals of Statistics, vol.29, pp.1165-1188, 2001. ,
Neural correlates of interspecies perspective taking in the post-mortem Atlantic Salmon : an argument for multiple comparisons correction (poster) Presented at Organization for Human Brain Mapping, 2009. ,
??ber das Elektrenkephalogramm des Menschen, Archiv f??r Psychiatrie und Nervenkrankheiten, vol.87, issue.1, pp.527-570, 1929. ,
DOI : 10.1007/BF01797193
Statistical analysis and the illusion of objectivity, American Scientist, vol.76, pp.159-165, 1988. ,
What HMMs Can't Do : A Graphical Model Perspective, Beyond HMM : Workshop on Statiatical Modeling Approach for Speech Recognition, 2004. ,
On the Foundations of Statistical Inference, Journal of the American Statistical Association, vol.29, issue.1, pp.269-306, 1962. ,
DOI : 10.1214/aoms/1177706622
Variational principal components, 9th International Conference on Artificial Neural Networks: ICANN '99, pp.509-514, 1999. ,
DOI : 10.1049/cp:19991160
Variational Bayesian model selection for mixture distributions, Artificial Intelligence and Statistics pp, pp.27-34, 2001. ,
Spanning the rich spectrum of the human brain: slow waves to gamma and beyond, Brain Structure and Function, vol.58, issue.10, pp.77-84, 2011. ,
DOI : 10.1016/j.neuron.2008.03.027
URL : https://hal.archives-ouvertes.fr/inserm-00594852
Bootstrap Methods and Their Applications, 1997. ,
DOI : 10.1017/CBO9780511802843
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis, Journal of Neuroscience Methods, vol.134, issue.1, pp.9-21, 2004. ,
DOI : 10.1016/j.jneumeth.2003.10.009
The Local Field Potential Reflects Surplus Spike Synchrony, Cerebral Cortex, vol.105, issue.54, pp.2681-2695, 2011. ,
DOI : 10.1152/jn.00642.2010
An introduction to the bootstrap, Monographs on statistics and applied probabilities, 1993. ,
DOI : 10.1007/978-1-4899-4541-9
A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion, Statistical Methods in Medical Research, vol.95, issue.3, pp.347-388, 2008. ,
DOI : 10.1198/016214504000001646
An introduction to ROC analysis, Pattern Recognition Letters, vol.27, issue.8, pp.861-874, 2006. ,
DOI : 10.1016/j.patrec.2005.10.010
Bayesian data analysis, 2004. ,
Variational inference for Bayesian mixtures of factor analysers Advances in neural information processing systems 12, pp.449-455, 2000. ,
Is Partial-Dimension Convergence a Problem for Inferences from MCMC Algorithms?, Political Analysis, vol.8, issue.02, pp.153-178, 2008. ,
DOI : 10.1080/00949659908811968
Cycle-octave and related transforms in seismic signal analysis, Geoexploration, vol.23, issue.1, pp.85-102, 1984. ,
DOI : 10.1016/0016-7142(84)90025-5
Single-Trial Normalization for Event-Related Spectral Decomposition Reduces Sensitivity to Noisy Trials, Frontiers in Psychology, vol.2, 2011. ,
DOI : 10.3389/fpsyg.2011.00236
URL : https://hal.archives-ouvertes.fr/hal-00633169
An Introduction to Bayesian Inference via Variational Approximations, Political Analysis, vol.7, issue.01, pp.32-47, 2011. ,
DOI : 10.1093/pan/mpp034
The rician distribution of noisy mri data, Magnetic Resonance in Medicine, vol.3, issue.6, pp.910-914, 1995. ,
DOI : 10.1002/j.1538-7305.1944.tb00874.x
Finding the Location of a Signal: A Bayesian Analysis, Journal of the American Statistical Association, vol.225, issue.402, pp.322-330, 1988. ,
DOI : 10.1126/science.225.4666.999
Computational cluster validation in post-genomic data analysis, Bioinformatics, vol.17, issue.10, pp.3201-3212, 2005. ,
DOI : 10.1093/bioinformatics/17.10.977
EEG oscillations and wavelet analysis. In Event-related potentials : A methods handbook, 2005. ,
Triple jump acceleration for the EM algorithm, Data Mining, Fifth IEEE International Conference on, 2005. ,
Improving the Mean Field Approximation Via the Use of Mixture Distributions, Learning in Graphical Models of NATO ASI Series pp, pp.163-173, 1998. ,
DOI : 10.1007/978-94-011-5014-9_6
Sharpening Ockham's razor on a bayesian strop, 1991. ,
The insignificance of statistical significance testing. The journal of wildlife management 63, pp.763-772, 1999. ,
Capacity and complexity of HMM duration modeling techniques, IEEE Signal Processing Letters, vol.12, issue.5, pp.407-410, 2005. ,
DOI : 10.1109/LSP.2005.845598
Visual stimulation elicits locked and induced gamma oscillations in monkey intracortical- and EEG-potentials, but not in human EEG, Experimental Brain Research, vol.129, issue.2, pp.247-259, 1999. ,
DOI : 10.1007/s002210050895
A friendly guide to wavelets Beanplot : A Boxplot Alternative for Visual Comparison of Distributions, Birkhäuser. Journal of Statistical Software Code Snippets, vol.28, pp.1-9, 1994. ,
Deterministic annealing variant of variational Bayes method, Journal of Physics : Conference Series 95, p.12015, 2008. ,
DOI : 10.1088/1742-6596/95/1/012015
Fundamental of Statistical Signal Processing, Volume II : Detection Theory, 1993. ,
Bootstrapping cluster analysis : Assessing the reliability of conclusions from microarray experiments, Proceedings of the National Academy of Sciences 98, pp.8961-8965, 2001. ,
Measuring phase synchrony in brain signals, Human Brain Mapping, vol.28, issue.4, pp.194-208, 1999. ,
DOI : 10.1126/science.282.5395.1846
The many faces of the gamma band response to complex visual stimuli, NeuroImage, vol.25, issue.2, pp.491-501, 2005. ,
DOI : 10.1016/j.neuroimage.2004.11.052
URL : https://hal.archives-ouvertes.fr/inserm-00388438
Analysis of dynamic brain oscillations : methodological advances, Trends in neurosciences, vol.30, pp.365-373, 2007. ,
Analysis of dynamic brain oscillations : methodological advances, Trends in Neurosciences, vol.30, pp.365-373, 2007. ,
Calibrated Bayes. The American Statistician 60, pp.213-223, 2006. ,
Ensemble learning for hidden Markov models, 1997. ,
Introduction to Monte Carlo Methods, NATO Science Series pp, pp.175-204, 1998. ,
DOI : 10.1007/978-94-011-5014-9_7
Mining event-related brain dynamics, Trends in cognitive sciences, pp.204-210, 2004. ,
DOI : 10.1016/j.tics.2004.03.008
A wavelet tour of signal processing Should we doubt the cosmological constant ?, Monthly Notices of the Royal Astronomical Society, vol.410, pp.2488-2496, 2008. ,
Divergence measures and message passing, 2005. ,
Ensemble Learning for Independent Component Analysis, 2000. ,
Probabilistic Inference Using Markov Chain Monte Carlo Methods, 1993. ,
Inequalities involving modified Bessel functions of the first kind, Journal of Mathematical Analysis and Applications, vol.171, issue.2, pp.532-536, 1992. ,
DOI : 10.1016/0022-247X(92)90363-I
Electric fields of the brain : the neurophysics of EEG Frontal midline EEG dynamics during working memory, NeuroImage, vol.27, pp.341-356, 2005. ,
DOI : 10.1093/acprof:oso/9780195050387.001.0001
The variational Gaussian approximation revisited, Neural computation, vol.21, pp.786-792, 2009. ,
Event-related brain dynamics, Trends in Neurosciences, vol.25, issue.8, pp.387-389, 2002. ,
DOI : 10.1016/S0166-2236(02)02202-6
URL : http://www.fil.ion.ucl.ac.uk/~wpenny/publications/erbd.pdf
Event-related EEG/MEG synchronization and desynchronization: basic principles, Clinical Neurophysiology, vol.110, issue.11, pp.1842-1857, 1999. ,
DOI : 10.1016/S1388-2457(99)00141-8
Guidelines for using human event-related potentials to study cognition: Recording standards and publication criteria, Psychophysiology, vol.37, issue.2, pp.127-152, 2000. ,
DOI : 10.1111/1469-8986.3720127
Parameter Expanded Variational Bayesian Methods, NIPS pp, pp.1097-1104, 2006. ,
Single-trial event-related potentials with wavelet denoising, Clinical Neurophysiology, vol.114, issue.2, pp.376-390, 2003. ,
DOI : 10.1016/S1388-2457(02)00365-6
Mathematical Analysis of Random Noise, Bell System Technical Journal, vol.24, issue.1, pp.46-156, 1945. ,
DOI : 10.1002/j.1538-7305.1945.tb00453.x
Partial amplitude synchronization detection in brain signals using Bayesian Gaussian mixture models, Proceedings of the fifth French conference on Computational Neuroscience, pp.109-113, 2010. ,
DOI : 10.1016/j.jphysparis.2011.07.018
URL : https://hal.archives-ouvertes.fr/hal-00534076
Partial amplitude synchronization detection in brain signals using Bayesian Gaussian mixture models, Journal of Physiology-Paris, vol.105, issue.1-3, pp.98-105, 2011. ,
DOI : 10.1016/j.jphysparis.2011.07.018
URL : https://hal.archives-ouvertes.fr/hal-00534076
Le choix bayésien : Principes et pratique Perception's shadow : long-distance synchronization of human brain activity, Nature, vol.397, pp.430-433, 1999. ,
Experimental evaluation of duration modelling techniques for automatic speech recognition, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.2376-2379, 1987. ,
DOI : 10.1109/ICASSP.1987.1169918
The relation of ongoing brain activity, evoked neural responses, and cognition, Frontiers in Systems Neuroscience, vol.4, 2010. ,
DOI : 10.3389/fnsys.2010.00020
Adaptive Overrelaxed Bound Optimization Methods, Proceedings of the International Conference on Machine Learning, pp.664-671, 2003. ,
Oscillations in local field potentials of the primate motor cortex during voluntary movement., Proceedings of the National Academy of Sciences, vol.90, issue.10, pp.4470-4474, 1993. ,
DOI : 10.1073/pnas.90.10.4470
Quantitative measures of cluster quality for use in extracellular recordings, Neuroscience, vol.131, issue.1, pp.1-11, 2005. ,
DOI : 10.1016/j.neuroscience.2004.09.066
Estimating the dimension of a model. The annals of statistics 6, pp.461-464, 1978. ,
An exploration of aspects of Bayesian multiple testing, Journal of Statistical Planning and Inference, vol.136, issue.7, pp.2144-2162, 2006. ,
DOI : 10.1016/j.jspi.2005.08.031
The norms and variances of the Gabor, Morlet and general harmonic wavelet functions, Journal of Sound and Vibration, vol.264, issue.3, pp.545-557, 2003. ,
DOI : 10.1016/S0022-460X(02)01206-3
A smoothness index-guided approach to wavelet parameter selection in signal de-noising and fault detection, Journal of Sound and Vibration, vol.308, issue.1-2, pp.246-267, 2007. ,
DOI : 10.1016/j.jsv.2007.07.038
Introducing doubt in bayesian model comparison. arXiv preprint, 2008. ,
Oscillatory gamma activity in humans and its role in object representation, Trends in Cognitive Sciences, vol.3, issue.4, pp.151-162, 1999. ,
DOI : 10.1016/S1364-6613(99)01299-1
Mixtures of Probabilistic Principal Component Analyzers, Neural Computation, vol.2, issue.1, 1998. ,
DOI : 10.1007/BF00162527
Quantifying additive evoked contributions to the event-related potential, NeuroImage, vol.59, issue.3, pp.2607-2624, 2012. ,
DOI : 10.1016/j.neuroimage.2011.08.078
Bayesian model search for mixture models based on optimizing variational bounds, Neural Networks, vol.15, issue.10, pp.1223-1241, 2002. ,
DOI : 10.1016/S0893-6080(02)00040-0
Mixture Models for Clustering and Dimension Reduction, 2004. ,
URL : https://hal.archives-ouvertes.fr/tel-00321484
Implementing false discovery rate control: increasing your power, Oikos, vol.100, issue.3, pp.643-647, 2005. ,
DOI : 10.1093/biostatistics/kxh021
Wavelets and subband coding, 1995. ,
Modélisation en bosses pour l'analyse des motifs oscillatoires reproductibles dans l'activité de populations neuronales : applications à l'apprentissage olfactif chez l'animal et à la détection précoce de la maladie d'Alzheimer, 2005. ,
Graphical Models, Exponential Families, and Variational Inference, Foundations and Trends?? in Machine Learning, vol.1, issue.1???2, pp.1-305, 2008. ,
DOI : 10.1561/2200000001
Variational Message Passing and its applications, 2003. ,
Variational Message Passing, Journal of Machine Learning Research, vol.6, pp.661-694, 2005. ,