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Identifying an increased risk of epileptic seizures using a multi-feature EEG-ECG classification., , , , , , and . Biomed. Signal Process. Control., 7 (3): 237-244 (2012)Neuronal dynamics and conscious experience- An example of reciprocal causation before epileptic seizures, and . Phenomenology and the Cognitive Sciences, (2002)Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients., , , , , , , , , and . Comput. Methods Programs Biomed., 114 (3): 324-336 (2014)Toward a neurodynamical understanding of ictogenesis, , , , and . Epilepsia, (2003)Neuronal Avalanches Differ from Wakefulness to Deep Sleep - Evidence from Intracranial Depth Recordings in Humans., , , and . PLoS Comput. Biol., (2013)Surface and intracranial EEG spike detection based on discrete wavelet decomposition and random forest classification., , , , and . EMBC, page 475-478. IEEE, (2017)Imaging brain synchrony at high spatio-temporal resolution: application to MEG signals during absence seizures., , , , , , and . Signal Process., 85 (11): 2101-2111 (2005)Dynamical Behavior and Control of Coupled Threshold Elements with Self-Inhibition., , , , , and . Int. J. Bifurc. Chaos, 19 (9): 3119-3128 (2009)Fundamental Dynamical Modes Underlying Human Brain Synchronization., and . Comput. Math. Methods Medicine, (2012)Probing cortical excitability using cross-frequency coupling in intracranial EEG recordings: A new method for seizure prediction., , , , and . EMBC, page 1632-1635. IEEE, (2011)