Lucas Zamora Vera

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text

State-of-the-art intracortical brain-to-text systems pair a neural-sequence phone decoder with an external language model. Two design axes remain underexplored: whether selective state-space models (Mamba) improve on recurrent decoders, and how the output target (phonetic vs.\ character) interacts with that choice. On...