fMRI Neural Activation Data

该数据集包含了来自5名受试者的功能性磁共振成像（fMRI）神经激活数据，这些数据是通过两个实验获得的，实验中使用了168段语言刺激来研究大脑反应。这两个实验旨在保持语义相关性，该数据集被用于评估在神经解码中预测语言刺激的双边匹配性能。数据规模涉及5名受试者，总计672个作为刺激呈现的句子。任务是通过大脑活动来预测语言刺激的神经解码。

This dataset contains functional magnetic resonance imaging (fMRI) neural activation data from 5 subjects. The data was collected via two experiments utilizing 168 segments of linguistic stimuli to investigate brain responses. The two experiments were designed to maintain semantic relevance. This dataset is used to evaluate the bilateral matching performance of predicting linguistic stimuli in neural decoding. It encompasses data from 5 participants, with a total of 672 sentences presented as stimuli. The core task of this dataset is neural decoding, which aims to predict the corresponding linguistic stimuli based on measured brain activity.