Processed Empirical EEG Data: LAPref, Beta, Non-Gaussian
收藏Texas Data Repository2018-11-27 更新2026-04-16 收录
下载链接：
https://dataverse.tdl.org/citation?persistentId=doi:10.18738/T8/HSJUZX
下载链接
链接失效反馈官方服务：
资源简介：
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-alpha range, Non-Gaussian-transformed.
These data are reported in Trujillo, Stanfield, & Vela (2017). The effect of electroencephalogram (EEG) reference choice on information-theoretic measures of the complexity and integration of EEG signals. In general, the pattern of pre- versus poststimulus differences in all EEG properties was similar to that of the observed categorization tasks and was highly reliable across the 16 simulations. Data are in Matlab EEGLAB toolbox data format (.set, .fdt).
提供机构：
Texas State University
创建时间：
2017-06-27
