Determination of the edge of criticality in echo state networks through Fisher information maximization

11 Mar 2016Lorenzo LiviFilippo Maria BianchiCesare 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 configuration, it performs efficiently on a specific application both in terms of (i) low prediction error and (ii) high short-term memory capacity... (read more)

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