Images of The 2D EEG Scalp Topograms Related to Ambiguous Stimuli Processing (for training the convolutional neural network)
收藏DataCite Commons2021-09-20 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Images_of_The_2D_EEG_Scalp_Topograms_Related_to_Ambiguous_Stimuli_Processing_for_training_the_convolutional_neural_network_/16645540
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资源简介:
The dataset contains images of the 2D topograms of EEG power distributed over the head. It includes anonymized data of 20 subjects, each subject's data are collected in a separate folder. The filename of each image is structured as "ambiguity_cluster_trial.png". "Ambiguity" takes the value of "HA" if the topogram characterizes processing of the stimuli with high ambiguity, or "LA" if the stimulus ambiguity is low. "Cluster" takes the values "1,2,3" depending on the cluster number. Each cluster reflects the time-frequency range where we average EEG power to plot the topogram. "Trial" takes the values "1...100". Each trial corresponds to a single stimulus processing.
该数据集包含分布于头部的脑电图(Electroencephalogram,EEG)功率二维脑电地形图图像。其包含20名被试的匿名化数据,每名被试的数据均存储于独立文件夹中。每张图像的文件名遵循"ambiguity_cluster_trial.png"的命名格式:其中"Ambiguity"字段取值为"HA"时,表示该地形图表征高歧义性刺激的加工过程;取值为"LA"时,则对应低歧义性刺激的加工过程。"Cluster"字段取值为1、2、3,对应不同的簇编号;每个簇代表用于计算平均脑电图功率以绘制该地形图的时频范围。"Trial"字段取值范围为1至100,每个试次对应一次单次刺激加工过程。
提供机构:
figshare
创建时间:
2021-09-20



