Author

Ayana Mussabayeva

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#machine learning Preprint Sep 2026

Measurement-Gated Provenance Attenuation for Frozen EEG Representations

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

#machine learning Preprint Aug 2026

Behavioral Latency as Weak Event-Time Supervision for EEG Reaction-Time Decoding

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