Probing cortical excitability using cross-frequency coupling in intracranial EEG recordings: A new method for seizure prediction. - Catalina Alvarado-Rojas; Mario Valderrama; A. Witon; Vincent Navarro; Michel Le Van Quyen (EMBC, 2011)

Identifying an increased risk of epileptic seizures using a multi-feature EEG-ECG classification. - Mario Valderrama; Catalina Alvarado-Rojas; S. Nikolopoulos; Jacques Martinerie; Claude Adam; Vincent Navarro; Michel Le Van Quyen (Biomed. Signal Process. Control., 2012)

Multimodal information improves the rapid detection of mental fatigue. - François Laurent; Mario Valderrama; Michel Besserve; Mathias Guillard; Jean-Philippe Lachaux; Jacques Martinerie; Geneviève Florence (Biomed. Signal Process. Control., 2013)

Neuronal Avalanches Differ from Wakefulness to Deep Sleep - Evidence from Intracranial Depth Recordings in Humans. - Viola Priesemann; Mario Valderrama; Michael Wibral; Michel Le Van Quyen (PLoS Comput. Biol., 2013)

Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients. - César Alexandre Teixeira; Bruno Direito; Mojtaba Bandarabadi; Michel Le Van Quyen; Mario Valderrama; Björn Schelter; Andreas Schulze-Bonhage; Vincent Navarro; Francisco Sales; António Dourado (Comput. Methods Programs Biomed., 2014)

BOARD-FTD-PACC: a graphical user interface for the synaptic and cross-frequency analysis derived from neural signals. - Cécile Gauthier-Umaña; Mario Valderrama; Alejandro Múnera; Mauricio O. Nava-Mesa (Brain Informatics, 2023)

Evaluating the Electroencephalographic Signal Quality of an In-Ear Wearable Device. - Jeremy Pazuelo; Jose Yesith Juez; Hanane Moumane; Jan Pyrzowski; Liliana Mayor; Fredy Enrique Segura-Quijano; Mario Valderrama; Michel Le Van Quyen (Sensors, 2024)