illusion-brain/omnibrain-4d
OmniBrain 4D — THINGS-EEG 四轴完整视图 把 THINGS-EEG 重组成四轴完整保留的结构：image × repetition × channel × time， 外加派生的频率轴。 供需要试次结构、时间进程、频带分解的工作直接使用。 不是把 EEG 压平成 (n_trial, n_channel) 的二维表。 ⚠️ 先读这一条：train 与 test 的轴结构完全不同 test/ train/ 形状 (200, 80, 63, 250) (16,540, 4, 63, 250) 图像数 200 16,540 重复数 80 4 每被试试次 16,000 66,160 10 被试总计 160,000 661,600 试次间信度 +0.072 +0.005 磁盘 4.5 GB 20.2 GB 这是 THINGS-EEG 的原始设计，不是错误： 训练集：图像多（16,540）、重复少（4） → 用于学跨图像泛化… See the full description on the dataset page: https://huggingface.co/datasets/illusion-brain/omnibrain-4d.
| Author / organization | illusion-brain |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 18 October 2026 |
| Last updated at source | 18 October 2026 |
Recent changes
- 18 Oct 2026 License: none → cc-by-4.0
- 18 Oct 2026 Description: none → OmniBrain 4D — THINGS-EEG 四轴完整视图 把 THINGS-EEG 重组成四轴完整保留的结构：image × repetition × channel × time， 外加派生的频率轴。 供需要试次结构、时间进程、频带分解的工作直接使用。 不是把 EEG 压平成 (n_trial, n_channel) 的二维表。 ⚠️ 先读这一条：train 与 test 的轴结构完全不同 test/ train/ 形状 (200, 80, 63, 250) (16
- 18 Oct 2026 Topics added task_categories:feature-extraction, task_categories:image-classification, eeg, neuroscience, things-eeg, brain, vision, tensor
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