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physics.data-an2016★ 67 cited
Determination of the edge of criticality in echo state networks through Fisher information maximization
Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
It is a widely accepted fact that the computational capability of recurrent neural networks is maximized on the so-called "edge of criticality". Once the network operates in this c…
physics.data-an2016★ 101 cited
Investigating echo state networks dynamics by means of recurrence analysis
Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
In this paper, we elaborate over the well-known interpretability issue in echo state networks. The idea is to investigate the dynamics of reservoir neurons with time-series analysi…