Skip to content
Sagan

Paper

MindAlign: Decoding Inner Speech from fMRI Signals via Multimodal Embedding Alignment under Limited Data

Unreadunread

AI summary

arXiv:2606. 20696v1 Announce Type: new Abstract: Decoding inner speech from non-invasive brain signals remains a fundamental challenge due to the absence of overt linguistic output, limited training data, and large inter-subject variability.