The mpib_ecomp_sourcedata dataset
收藏DataCite Commons2022-11-22 更新2024-07-13 收录
下载链接：
https://doi.gin.g-node.org/10.12751/g-node.lir3qw
下载链接
链接失效反馈官方服务：
资源简介：
When judging the average value of sample stimuli (e.g., numbers) people tend to either over- or underweight extreme sample values, depending on task context. In a context of overweighting, recent work has shown that extreme sample values were overly represented also in neural signals, in terms of an anti-compressed geometry of number samples in multivariate electroencephalography (EEG) patterns. Here, we asked whether neural representational geometries may also reflect underweighting of extreme values (i.e., compression) which has been observed behaviorally in a great variety of tasks.
提供机构：
G-Node
创建时间：
2022-11-22
