On effects of IP improvement of ESN reservoirs for reflecting of data structure

In the present paper some results concerning the investigation of effect of Intrinsic Plasticity (IP) improvement of Echo state networks (ESN) reservoirs were summarized and commented. It was observed that IP training “captures” input data structure into the reservoir steady state in a way that could be useful for clustering purposes. In search of explanation of these results the Memory Capacity of Reservoir Equilibrium State (MCRES) was introduced. Achieved due to IP tuning MCRES of ESN reservoirs with different sizes was investigated using three benchmark artificial data sets.