A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking

We present a dataset combining high-density Electroencephalography (HD-EEG, 128-channels) and mouse-tracking intended as a resource for examining the dynamic decision process of semantics and preference choices in the human brain. The dataset includes resting-state and task-related (food preference...

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Detalles Bibliográficos
Autores principales: Chen, Kun, Wang, Ruien, Huang, Jiamin, Gao, Fei, Yuan, Zhen, Qi, Yanyan, Wu, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288455/
https://www.ncbi.nlm.nih.gov/pubmed/35842416
http://dx.doi.org/10.1038/s41597-022-01538-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288455/
https://www.ncbi.nlm.nih.gov/pubmed/35842416
http://dx.doi.org/10.1038/s41597-022-01538-5

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