Jul 2026
Multimodal Pretraining for Generalizable EEG Representation Learning
A multimodal EEG foundation model that combines a raw signal encoder based on the Mamba architecture, a Vision Transformer-style encoder for time-frequency data, and a lightweight encoder for text, all within a shared embedding space is developed.
Targol Bakhtiarvand, J. Kalita, Adham Atyabi
· arXiv.org · 0 citations