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Brain Informatics
Fig. 3 | Brain Informatics

Fig. 3

From: Hemodynamic functional connectivity optimization of frequency EEG microstates enables attention LSTM framework to classify distinct temporal cortical communications of different cognitive tasks

Fig. 3

Schematic diagram of Attention-based LSTM deep learning framework adopted in the study. 'T' represents the temporal, sliding input sampling window size and is chosen between 180 to 750 ms/segment associated with the specific number of cells ranging from 4 to 16, based on the stability of transition probabilities of the optimized microstates

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