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Zyphra releases ZUNA1.1, an open-source EEG foundation model with flexible input lengths

By PulseAugur Editorial · [2 sources] ·

Zyphra has released ZUNA1.1, an open-source electroencephalography (EEG) foundation model. This 380M-parameter model, available under the Apache 2.0 license, is designed to reconstruct, denoise, and upsample EEG data. A key improvement over its predecessor, ZUNA1, is its ability to process variable-length inputs ranging from 0.5 to 30 seconds, accommodating diverse EEG recording lengths and channel layouts. AI

IMPACT Enhances brain-computer interface research by enabling more flexible processing of EEG data.

RANK_REASON Release of an open-source foundation model for a specific domain (EEG) with architectural improvements.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Zyphra releases ZUNA1.1, an open-source EEG foundation model with flexible input lengths

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Release of an open-source foundation model for a specific domain (EEG) with architectural improvements.
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COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

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

    <p>Zyphra released ZUNA1.1 on July 16, 2026, under the Apache 2.0 license. The 380M masked diffusion autoencoder reconstructs, denoises, and upsamples scalp-EEG across arbitrary channel layouts. It accepts variable-length inputs from 0.5 to 30 seconds, against ZUNA1's fixed five …

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Zyphra has released ZUNA1.1, an open-source EEG foundation model that processes brain signals from 0.5 to 30 seconds. The 380M parameter model reconstructs and

    Zyphra has released ZUNA1.1, an open-source EEG foundation model that processes brain signals from 0.5 to 30 seconds. The 380M parameter model reconstructs and denoises EEG data across arbitrary electrode layouts, advancing brain-computer interface research. https://www. marktech…

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