EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically Invariant

We analyse statistical and information-theoretical properties of EEG microstate sequences, as seen through the lens of five different clustering algorithms. Microstate sequences are computed for n = 20 resting state EEG recordings during wakeful rest. The input for all clustering algorithms is the s...

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Detalles Bibliográficos
Autores principales: von Wegner, Frederic, Knaut, Paul, Laufs, Helmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119811/
https://www.ncbi.nlm.nih.gov/pubmed/30210325
http://dx.doi.org/10.3389/fncom.2018.00070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119811/
https://www.ncbi.nlm.nih.gov/pubmed/30210325
http://dx.doi.org/10.3389/fncom.2018.00070

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