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#artificial intelligence Preprint Oct 2026

Decoding Naturalistic Speech from fMRI with Temporal Modeling and Multimodal Alignment

Reconstructing what a person perceives from their brain activity is a stringent test of whether neural recordings carry meaningful information. Naturalistic speech offers a rich testbed for this challenge: it unfolds over multiple timescales, but fMRI's noisy, temporally smeared measurements make this structure hard to...

Corentin Caris, Louis Jalouzot, Nona Rajabi 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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