#artificial intelligence
Jun 2025
A foundation model with multi-variate parallel attention to generate neuronal activity
This work introduces multi-variate parallel attention (MVPA), a novel self-attention mechanism that disentangles content, temporal, and spatial attention, enabling flexible, generalizable, and efficient modeling of time-series data with varying channel counts and configurations.
F. Carzaniga, Michael Hersche, Abu Sebastian et al.
· arXiv.org · 3 citations