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

MarkTechPost · 2 hours ago

Zyphra released ZUNA1.1, an open-source EEG foundation model that reconstructs, denoises, and upsamples brain signals across variable channel layouts and recording lengths. The model accepts input lengths from 0.5 to 30 seconds (compared to ZUNA1's fixed 5-second segments) and uses 4D rotary positional encoding to handle arbitrary electrode configurations. The training expanded from 2 million to 3.5 million channel-hours of EEG data and introduced four dropout patterns instead of one, enabling better performance on realistic reconstruction tasks like region-based electrode recovery.