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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...
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| Publié dans: | Front Comput Neurosci |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6119811/ https://ncbi.nlm.nih.gov/pubmed/30210325 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2018.00070 |
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