English(EN) 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 发布 ZUNA1.1，一个具有灵活输入长度的开源脑电图（EEG）基础模型

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-17 21:35

Zyphra 发布了 ZUNA1.1，一个开源的脑电图（EEG）基础模型。该模型拥有 3.8 亿参数，在 Apache 2.0 许可下可用，旨在重建、去噪和上采样脑电图数据。与前代 ZUNA1 相比，一个关键的改进是它能够处理 0.5 至 30 秒的可变长度输入，适应不同的脑电图记录长度和通道布局。 AI

影响通过实现更灵活的脑电图数据处理，增强了脑机接口研究。

排序理由发布了一个特定领域（脑电图）的开源基础模型，并进行了架构改进。

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Zyphra 发布 ZUNA1.1，一个具有灵活输入长度的开源脑电图（EEG）基础模型

报道来源 [2]

MarkTechPost TIER_1 English(EN) · Asif Razzaq · 2026-07-17 21:35

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 …
Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-07-17 21:53

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…

报道来源 [2]

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

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