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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Detalles Bibliográficos
Autores principales: Gifford, Alessandro T., Dwivedi, Kshitij, Roig, Gemma, Cichy, Radoslaw M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771828/
https://www.ncbi.nlm.nih.gov/pubmed/36400378
http://dx.doi.org/10.1016/j.neuroimage.2022.119754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771828/
https://www.ncbi.nlm.nih.gov/pubmed/36400378
http://dx.doi.org/10.1016/j.neuroimage.2022.119754

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