Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds

Zyphra released ZUNA1.1, an Apache 2.0 licensed EEG foundation model, under the Apache 2.0 license. The model, a 380M-parameter masked diffusion autoencoder, accepts variable-length inputs from 0.5 to 30 seconds, denoises and reconstructs data across arbitrary channel layouts, and upsamples signals at positions never recorded. ZUNA1.1 achieves better or equivalent reconstruction NMSE compared to its predecessor, ZUNA1, on held-out tasks and outperforms classical spherical-spline interpolation.