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

Zyphra has released ZUNA1.1, a masked diffusion autoencoder designed to process and reconstruct scalp EEG data. Under the Apache 2.0 license, this 380M parameter model improves upon its predecessor by accepting variable-length inputs ranging from 0.5 to 30 seconds across diverse channel layouts.