Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks

Electroencephalogram (EEG) microstates that represent quasi‐stable, global neuronal activity are considered as the building blocks of brain dynamics. Therefore, the analysis of microstate sequences is a promising approach to understand fast brain dynamics that underlie various mental processes. Rece...

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Veröffentlicht in:	Human brain mapping 2020-06, Vol.41 (9), p.2334-2346
Hauptverfasser:	Sikka, Apoorva, Jamalabadi, Hamidreza, Krylova, Marina, Alizadeh, Sarah, Meer, Johan N., Danyeli, Lena, Deliano, Matthias, Vicheva, Petya, Hahn, Tim, Koenig, Thomas, Bathula, Deepti R., Walter, Martin
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain Coders Dynamics EEG Electroencephalography Information flow Information management microstates Neural networks Neurons Recurrent neural networks Sequences stress Time
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