EEGDash/nm000253

Wang等人于2024年发布的Brain Treebank数据集是一个大规模的颅内记录数据集，记录了10名受试者在自然语言刺激下的大脑活动。数据集包含26次记录，总时长为1.8小时，磁盘占用为257.3 GB。数据采用IEEG（颅内脑电图）技术记录，采样率为2048 Hz。数据集支持通过EEGDash工具加载，并提供了PyTorch和braindecode格式的支持。Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli. This dataset contains intracranial EEG (IEEG) recordings from 10 subjects during naturalistic language stimuli, totaling 26 recordings with a duration of 1.8 hours and a disk size of 257.3 GB. The data is recorded at a sampling rate of 2048 Hz and can be loaded via EEGDash, supporting PyTorch and braindecode formats.