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A large and rich EEG dataset for modeling human visual object recognition
Date created: 2021-06-24 02:06 PM | Last Updated: 2024-08-30 03:12 PM
Identifier: DOI 10.17605/OSF.IO/3JK45
Category: Data
Description: Source, raw and preprocessed EEG data, resting state EEG data, image set, DNN feature maps and code of the paper: "A large and rich EEG dataset for modeling human visual object recognition".
For detailed information regarding the raw and preprocessed EEG data set, the image set and the DNN feature maps please refer to the paper.
Please refer to the dataset website for additional resources.
To familiarize with the dataset check out our Colab interactive tutorial on how to load and visualize the preprocessed EEG data and the corresponding stimuli images.
Here you will find some usefu…
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Components
Source EEG data
Source EEG data of the 10 participants.
Raw EEG data
Raw EEG data of the 10 participants.
Preprocessed EEG data
Preprocessed EEG data of the 10 participants.
Resting state EEG data
Resting state EEG data of the 10 participants.
Behavioral data
Behavioral data of the 10 participants.
Image set
Training and test images used for collecting the EEG data and for training/testing the encoding models.
DNN feature maps
PCA downsampled DNN feature maps of the training/test images coming from the THINGS database, and also of the ILSVRC-2012 validation/test images.
Code
Code to reproduce all the paper results. If you use our code, partly or as it is, please cite our paper.
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