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Decoding Naturalistic Speech from fMRI with Temporal Modeling and Multimodal Alignment

Caris, Corentin et al.
arXiv (All) · Papers
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machine-learning
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 th
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