A mean shift between two data sources can be easy to detect but hard to remove without substantially changing their representations. We cast its removal as a statistical decision problem: from noisy differences between paired calibration measurements in $\mathbb{R}^d$, learn one linear map, applied to both sources unde...
Anuar Aimoldin, Yan-Kai Chen, Ayana Mussabayeva et al.· 0 citations
Electroencephalography records mixtures of brain-source activity and shows that unknown local mechanism changes can supply the missing information and direct reconstruction is also more reliable than a matched-information spectral estimator.
Ayana Mussabayeva, Jia-Qi Sun, Anuar Aimoldin et al.· 0 citations
PhysioTRACE is introduced, a four-axis behavioral audit for frozen encoders that separates what a probe can decode from what a fixed task head relies on, and provides one that can pass, fail, or refuse a remedy.
Ayana Mussabayeva, Anuar Aimoldin, Olivier Oullier et al.· 0 citations
Measurement-Gated Provenance Attenuation (MGPA), built on one principle: measurement evidence determines where correction may act, and preserved information determines what it should aim for, brings source to near chance with task performance unchanged.
Anuar Aimoldin, Yan-Kai Chen, Ayana Mussabayeva et al.· 0 citations
Event-time posterior modeling is established as a probabilistic and interpretable formulation for linking single-trial EEG dynamics to behavioral timing for linking single-trial EEG dynamics to behavioral timing.
Anuar Aimoldin, Ayana Mussabayeva, Yedige Mussabayev et al.· 0 citations
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