Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field, Clinical Neurophysiology, vol.116, issue.10, pp.600-616, 2005. ,
DOI : 10.1016/j.clinph.2005.06.011
Detecting Recurrence Domains of Dynamical Systems by Symbolic Dynamics, Physical Review Letters, vol.110, issue.15, 2013. ,
DOI : 10.1103/PhysRevLett.110.154101
Recurrence plots of dynamical systems, Europhys. Letters, vol.5, pp.973-977, 1987. ,
Recurrence plots for the analysis of complex systems, Physics Reports, vol.438, issue.5-6, pp.5-6, 2007. ,
DOI : 10.1016/j.physrep.2006.11.001
Non-linear analysis of EEG signals at various sleep stages, Computer Methods and Programs in Biomedicine, vol.80, issue.1, pp.37-45, 2005. ,
DOI : 10.1016/j.cmpb.2005.06.011
Mathematical description of the responses of simple cortical cells*, Journal of the Optical Society of America, vol.70, issue.11, pp.1297-1300, 1980. ,
DOI : 10.1364/JOSA.70.001297
Surrogate time series, Physica D: Nonlinear Phenomena, vol.142, issue.3-4, p.346382, 2000. ,
DOI : 10.1016/S0167-2789(00)00043-9
A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising, IEEE Transactions on Signal Processing, vol.60, issue.11, pp.5787-5798, 2012. ,
DOI : 10.1109/TSP.2012.2212891
Time-frequency reassignment and synchrosqueezing, IEEE Signal Processing Magazine, vol.80, pp.32-41, 2013. ,
DOI : 10.1109/msp.2013.2265316
URL : https://hal.archives-ouvertes.fr/hal-00983755
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3666-3669, 2010. ,
DOI : 10.1109/ICASSP.2010.5495887
URL : https://hal.archives-ouvertes.fr/ensl-00476017
Testing Stationarity With Surrogates: A Time-Frequency Approach, IEEE Transactions on Signal Processing, vol.58, issue.7, pp.3459-3470, 2010. ,
DOI : 10.1109/TSP.2010.2043971
URL : https://hal.archives-ouvertes.fr/ensl-00475929
EEG and MEG Data Analysis in SPM8, Computational Intelligence and Neuroscience, vol.19, issue.2, 2011. ,
DOI : 10.1073/pnas.98.2.694
Non-linear analysis of the sleep EEG, Psychiatry and Clinical Neurosciences, vol.15, issue.2, pp.159-61, 1999. ,
DOI : 10.1016/0375-9601(85)90444-X
Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages, Neuroscience Letters, vol.250, issue.2, pp.91-94, 1998. ,
DOI : 10.1016/S0304-3940(98)00435-2