Author

T. Boccato

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#natural language process... Preprint Sep 2026

From Neurons to Conversation: Speech Brain-Computer Interfaces

Speech brain-computer interfaces (BCIs) aim to restore communication by transforming neural activity related to speech, language, or communicative intent into external outputs such as text, synthesized voice, or avatar control. Recent advances in intracortical and electrocorticographic recording, deep sequence models,...

Moein Khajehnejad, Forough Habibollahi, T. Boccato et al. · 0 citations

#artificial intelligence Apr 2026

Seeing the imagined: a latent functional alignment in visual imagery decoding from fMRI data

This work proposes a latent functional alignment (LFA) approach that maps imagery-evoked activity to the pretrained model's semantic content-enriched conditioning space, by adding a simple alignment module, while keeping the original remaining components frozen.

Fabrizio Spera, T. Boccato, Michal Olak et al. · arXiv.org · 0 citations