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Human electroencephalography recordings for 1,854 concepts presented in rapid serial visual presentation streams

View ORCID ProfileTijl Grootswagers, Ivy Zhou, View ORCID ProfileAmanda K. Robinson, View ORCID ProfileMartin N. Hebart, View ORCID ProfileThomas A. Carlson
doi: https://doi.org/10.1101/2021.06.03.447008
Tijl Grootswagers
1The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia
2School of Psychology, The University of Sydney, Sydney, Australia
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  • For correspondence: t.grootswagers@westernsydney.edu.au
Ivy Zhou
2School of Psychology, The University of Sydney, Sydney, Australia
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Amanda K. Robinson
2School of Psychology, The University of Sydney, Sydney, Australia
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Martin N. Hebart
3Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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Thomas A. Carlson
2School of Psychology, The University of Sydney, Sydney, Australia
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Abstract

The neural basis of object recognition and semantic knowledge has been extensively studied but the high dimensionality of object space makes it challenging to develop overarching theories on how the brain organises object knowledge. To help understand how the brain allows us to recognise, categorise, and represent objects and object categories, there is a growing interest in using large-scale image databases for neuroimaging experiments. In the current paper, we present THINGS-EEG, a dataset containing human electroencephalography responses from 50 subjects to 1,854 object concepts and 22,248 images in the THINGS stimulus set, a manually curated and high-quality image database that was specifically designed for studying human vision. The THINGS-EEG dataset provides neuroimaging recordings to a systematic collection of objects and concepts and can therefore support a wide array of research to understand visual object processing in the human brain.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://osf.io/hd6zk/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted October 06, 2021.
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Human electroencephalography recordings for 1,854 concepts presented in rapid serial visual presentation streams
Tijl Grootswagers, Ivy Zhou, Amanda K. Robinson, Martin N. Hebart, Thomas A. Carlson
bioRxiv 2021.06.03.447008; doi: https://doi.org/10.1101/2021.06.03.447008
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Human electroencephalography recordings for 1,854 concepts presented in rapid serial visual presentation streams
Tijl Grootswagers, Ivy Zhou, Amanda K. Robinson, Martin N. Hebart, Thomas A. Carlson
bioRxiv 2021.06.03.447008; doi: https://doi.org/10.1101/2021.06.03.447008

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