BrainOmni Base：未运行，不是零。 BrainTokenizer 需要 512 个采样点的时间窗（256 Hz 下 2.0 秒）；已发布的片段是 1 秒 = 256 个采样点，所以上游的 unfold() 会给每个时间窗的 512 个采样点补零 256 个（凭空造出的采样点）。上游所有下游任务用的时间窗都不短于 2 秒。BrainTokenizer needs a 512-sample window (2.0 s at 256 Hz); the published segment is 1 s = 256 samples, so upstream unfold() would zero-pad 256 of 512 samples of every window (invented samples). All upstream downstream tasks use >= 2 s windows.
BrainOmni Base：未运行，不是零。 BrainTokenizer 需要 512 个采样点的时间窗（256 Hz 下 2.0 秒）；已发布的片段是 1 秒 = 256 个采样点，所以上游的 unfold() 会给每个时间窗的 512 个采样点补零 256 个（凭空造出的采样点）。上游所有下游任务用的时间窗都不短于 2 秒。BrainTokenizer needs a 512-sample window (2.0 s at 256 Hz); the published segment is 1 s = 256 samples, so upstream unfold() would zero-pad 256 of 512 samples of every window (invented samples). All upstream downstream tasks use >= 2 s windows.
宽松的权重许可；只发布聚合分数，不转发权重。Permissive weights licence; aggregate scores only, no weights redistributed.
各行脚注
p300-target 与 semantic-target 未运行：分词器需要 2 秒的时间窗，1 秒的片段不补零就无法满足。在 4–8 通道的电极布局上保留了上游的共同平均参考。p300-target and semantic-target not run: the 2 s tokenizer window cannot be met by 1 s segments without zero padding. Upstream common average reference kept on 4-8 channel montages.
BCI Report