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. 2018 Jun 11;8:8912. doi: 10.1038/s41598-018-27169-8

Figure 2.

Figure 2

The proposed SNN architecture performs as follows: encoding EEG data as spike sequences; mapping of these sequences into a 3D SNN model created with the use of a brain template; unsupervised learning of the spike sequences in the SNN model; supervised learning and classification of the learned patterns in a SNN classifier. The Figure was drawn by authors Z.G. and M.D.