MindBigData 2023 MNIST-8B：包含80亿个数据点的脑信号多模态数据集
MindBigData 2023 MNIST-8B The 8 billion datapoints Multimodal Dataset of Brain Signals
AI总结：
本文发布MindBigData 2023 MNIST-8B，一个含80亿数据点、基于单受试者128通道EEG并对应MNIST全部70,000个数字的多模态脑信号数据集。
摘要：
MindBigData 2023 MNIST-8B是截至2023年6月1日为机器学习创建的最大规模脑信号开放数据集，基于使用定制128通道设备采集的单个受试者EEG信号，复制了Yann LeCun等人的MNIST数据集中全部70,000个数字。采集脑信号时，受试者正在屏幕上逐个观看原始数字的像素，同时收听来自真实标签的0到9口语数字。本文详细描述了所创建的数据、采集流程、硬件和软件；背景补充信息及其他相关数据集可参见我们此前的论文《MindBigData 2022：一个大型脑信号数据集》。
英文摘要：
MindBigData 2023 MNIST-8B is the largest, to date (June 1st 2023), brain signals open dataset created for Machine Learning, based on EEG signals from a single subject captured using a custom 128 channels device, replicating the full 70,000 digits from Yaan LeCun et all MNIST dataset. The brain signals were captured while the subject was watching the pixels of the original digits one by one on a screen and listening at the same time to the spoken number 0 to 9 from the real label. The data, collection procedures, hardware and software created are described in detail, background extra information and other related datasets can be found at our previous paper MindBigData 2022: A Large Dataset of Brain Signals.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
