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Source reconstruction via the spatiotemporal Kalman filter and LORETA from EEG time series with 32 or fewer electrodes., , , , , , , , and . EMBC, page 2218-2222. IEEE, (2017)A novel algorithm for measuring graph similarity: Application to brain networks., , , , , , and . NER, page 1068-1071. IEEE, (2015)From intracerebral EEG signals to brain connectivity- identification of epileptogenic networks in partial epilepsy, , , and . Front Syst Neurosci., (2010)Time-frequency characterization of interdependencies in nonstationary signals: application to epileptic EEG., , , , and . IEEE Trans. Biomed. Eng., 52 (7): 1218-1226 (2005)Identification of brain networks with high time/space resolution using dense EEG., , , , and . NER, page 1060-1063. IEEE, (2015)NeoCoMM: A neocortical neuroinspired computational model for the reconstruction and simulation of epileptiform events., , , , , and . Comput. Biol. Medicine, (2024)Visualization of Dynamic Processes Recorded during Epileptic Seizures., and . Eurographics (Short Presentations), Eurographics Association, (1998)Classification of high frequency oscillations in epileptic intracerebral EEG., , , , , and . EMBC, page 574-577. IEEE, (2015)Modeling of Entorhinal Cortex and Simulation of Epileptic Activity: Insights Into the Role of Inhibition-Related Parameters., , , , and . IEEE Trans. Information Technology in Biomedicine, 11 (4): 450-461 (2007)Identification of epileptogenic networks from dense EEG: A model-based study., , , , and . EMBC, page 5610-5613. IEEE, (2015)