Spectral Entropy Can Predict Changes of Working Memory Performance Reduced by Short-Time Training in the Delayed-Match-to-Sample Task

Spectral entropy, which was generated by applying the Shannon entropy concept to the power distribution of the Fourier-transformed electroencephalograph (EEG), was utilized to measure the uniformity of power spectral density underlying EEG when subjects performed the working memory tasks twice, i.e....

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Detalles Bibliográficos
Autores principales: Tian, Yin, Zhang, Huiling, Xu, Wei, Zhang, Haiyong, Yang, Li, Zheng, Shuxing, Shi, Yupan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583228/
https://www.ncbi.nlm.nih.gov/pubmed/28912701
http://dx.doi.org/10.3389/fnhum.2017.00437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583228/
https://www.ncbi.nlm.nih.gov/pubmed/28912701
http://dx.doi.org/10.3389/fnhum.2017.00437

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