A large and rich EEG dataset for modeling human visual object recognition

A large and rich EEG dataset for modeling human visual object recognition

The human brain achieves visual object recognition through multiple stages of linear and nonlinear transformations operating at a millisecond scale. To predict and explain these rapid transformations, computational neuroscientists employ machine learning modeling techniques. However, state-of-the-ar...

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Bibliographic Details
Main Authors: Alessandro T. Gifford, Kshitij Dwivedi, Gemma Roig, Radoslaw M. Cichy
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:NeuroImage
Subjects:
Artificial neural networks
Computational neuroscience
Electroencephalography
Open-access data resource
Neural encoding models
Visual object recognition
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922008758

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http://www.sciencedirect.com/science/article/pii/S1053811922008758

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