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Updated: Oct 7, 2025
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Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
Published on: May 12, 2019
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Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams
Tijl Grootswagers1,2, Ivy Zhou3, Amanda K Robinson3
1The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia. t.grootswagers@westernsydney.edu.au.
Scientific Data
|January 11, 2022
Summary
Researchers created the THINGS-EEG dataset, featuring electroencephalography (EEG) recordings from 50 individuals viewing 1,854 object concepts. This dataset aids in understanding how the brain processes visual object recognition and semantic knowledge.
Area of Science:
- Neuroscience
- Cognitive Science
- Computer Vision
Background:
- Understanding the neural basis of object recognition and semantic knowledge is complex due to the high dimensionality of object space.
- Large-scale image databases are increasingly utilized in neuroimaging to investigate how the brain organizes object knowledge.
Purpose of the Study:
- To introduce the THINGS-EEG dataset, a novel resource for studying human visual object processing.
- To provide electroencephalography (EEG) data linked to a comprehensive set of object concepts and images.
Main Methods:
- Collected human electroencephalography (EEG) responses from 50 subjects.
- Utilized the THINGS stimulus set, comprising 1,854 object concepts and 22,248 high-quality images.
- Developed a dataset specifically designed for neuroimaging research in human vision.
Main Results:
- The THINGS-EEG dataset contains detailed neuroimaging recordings.
- The dataset systematically covers a wide range of objects and concepts.
- It offers a valuable resource for analyzing brain activity during object perception.
Conclusions:
- The THINGS-EEG dataset supports diverse research into visual object processing.
- It facilitates the development of overarching theories on how the brain organizes object knowledge.
- This resource advances our understanding of the neural mechanisms underlying recognition and categorization.
