5 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…
Measurement-Gated Provenance Attenuation for Frozen EEG Representations
Anuar Aimoldin, Yankai Chen, Ayana Mussabayeva +2
Frozen EEG representations retain acquisition signatures as well as neural activity. Source predictability alone does not identify what should be removed: it can reflect measuremen…
Trade-Adaptive Aggregation of Probabilistic Financial Forecasts
Yankai Chen, Rassul Magauin, Bowei He +5
Financial NLP systems produce probabilistic forecasts from news, reports, and filings. Prediction markets can aggregate these forecasts sequentially, but their fees must reward inf…
Behavioral Latency as Weak Event-Time Supervision for EEG Reaction-Time Decoding
Anuar Aimoldin, Ayana Mussabayeva, Yedige Mussabayev +2
Single-trial EEG analyses are often organized around events and latencies, yet EEG-based reaction-time (RT) prediction is posed as scalar regression on a fixed stimulus-locked wind…