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#machine learning Preprint Sep 2026

Stable Neural Decoding Across Sessions via Task-Conditioned Latent Alignment for Brain-Machine Interfaces

Task-Conditioned Latent Alignment (TCLA), a framework that stabilizes neural decoding by learning a shared latent space, is proposed, which learns a low-dimensional source representation using neural reconstruction and continuous behavioral supervision.

Can-Yang Zhao, Bo-Lin Peng, J. Mayo et al. · 0 citations
#machine learning Preprint Aug 2026

Benchmarking External Generalization of SPD Matrix Learning for Resting-State fMRI Connectome Prediction

A reproducible age-prediction benchmark across six rs-fMRI datasets is introduced and provides common inputs, model settings, data splits, and analysis scripts so that future SPD matrix learning methods can be evaluated under the same external-validation protocol.

Ce Ju, A. Collas, Florent Bouchard et al. · 0 citations

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