6 papers
Identifying Neural Source Dynamics from Unknown Local Interventions
Ayana Mussabayeva, Jiaqi Sun, Anuar Aimoldin +2
Electroencephalography (EEG) records mixtures of brain-source activity. Even with a known anatomical forward model, experiments that excite only part of the source-state space leav…
PhysioTRACE: Provenance-Aware Stress Tests for Physiological Foundation Models
Ayana Mussabayeva, Anuar Aimoldin, Olivier Oullier +2
Physiological foundation models encode how a signal was recorded alongside the physiology it reflects. When recording conditions are associated with diagnosis, this acquisition pro…
Foundation-model-based multi-label phenotyping of combined hyperkinetic movement disorders
Laura Cif, Zohra Souei, Diane Demailly +13
Movement disorders (MDs) frequently co-occur, yet phenomenological and severity assessment shows substantial inter-rater variability. Markerless video could improve reproducibility…
Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space
Xavier Vasques, Paul Barbaste, Olivier Oullier
Robust EEG motor imagery decoding remains limited by strong inter-individual variability, making it difficult to identify pipelines that generalize across users. We present a large…
Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoders
Xavier Vasques, Paul Barbaste, Olivier Oullier
Electroencephalography (EEG) is the dominant non-invasive modality for brain-computer interfaces (BCIs), yet reliable decoding of motor imagery is hampered by inter- and intra-indi…
Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding
Paul Barbaste, Olivier Oullier, Xavier Vasques
Robust decoding and classification of brain patterns measured with electroencephalography (EEG) remains a major challenge for real-world (i.e. outside scientific lab and medical fa…