raw data - Domain-general neural correlates of dependency formation: using complex tones to simulate language

In the corresponding study, we develop a new approach to mimic the interplay of sequential position as well as categorical and relational information in natural language syntax (word category and agreement) in a non-linguistic target detection paradigm using musical instruments. Participants were instructed to (covertly) detect target tones which were de fined by instrument change and pitch rise between subsequent tones at the last two positions of four-tone sequences. We analysed the EEG using event-related averaging and time-frequency decomposition.show striking similarities to results obtained from linguistic experiments. The files here are the raw EEG data of the 24 subjects who participated in the study, "notes.txt" contains the trigger codes.

在本项对应研究中，我们开发了一套全新方法，在基于乐器的非语言目标检测范式中，模拟自然语言句法（词类与句法一致关系）中的序列位置、范畴属性与关系信息的交互机制。实验要求被试（隐蔽地）检测四音序列最后两个位置上，由相邻音之间的乐器变化与音高上升所定义的目标音。我们采用事件相关平均与时频分解技术对脑电图（EEG）信号进行分析，所得结果与语言实验的观测结果呈现出显著相似性。本数据集包含参与本研究的24名被试的原始脑电数据，其中"notes.txt"文件存储了触发码。