A Computational Agent Model for Post-Traumatic Stress Disorders. - Sébastien Naze; Jan Treur (BICA, 2011)

A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning. - Sébastien Naze; Jan Treur (ICONIP (2), 2012)

Computational Modeling of Seizure Dynamics Using Coupled Neuronal Networks: Factors Shaping Epileptiform Activity. - Sébastien Naze; Christophe Bernard 001; Viktor K. Jirsa (PLoS Comput. Biol., 2015)

Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. - Sébastien Naze; Vittorio Caggiano; Yinming Sun; Molly V. Lucas; Amit Etkin; James R. Kozloski (EMBC, 2019)

GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions. - Saurabh Sihag; Sébastien Naze; Foad Taghdiri; Maria Carmela Tartaglia; James R. Kozloski (GlobalSIP, 2019)

Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions. - Saurabh Sihag; Sébastien Naze; Foad Taghdiri; Charles Tator; Richard Wennberg; David J. Mikulis; Robin Green; Brenda Colella; Maria Carmela Tartaglia; James R. Kozloski (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Features importance in seizure classification using scalp EEG reduced to single timeseries. - Sébastien Naze; Jianbin Tang; James R. Kozloski; Stefan Harrer (EMBC, 2021)

Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes. - Sébastien Naze; Timothée Proix; Selen Atasoy; James R. Kozloski (NeuroImage, 2021)