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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| 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 |