Research Article

Robust Reservoir Generation by Correlation-Based Learning

Figure 2

The basic property of the reservoir in our RC model. (a) Active states of the first 100 out of excitatory neurons ( . The abscissa and ordinate represent time and neuron index, respectively. A horizontal line represents the duration of the active state of a neuron. (b) The similarity index of this activity pattern. The abscissa and ordinate are time difference ( ) and the index, respectively. The solid line indicates the mean index value, whereas the gray region represents the standard deviation of the index. (c) The reproducibility index between two sequences of active neuron populations generated under different noise. The abscissa and ordinate represent time and the index, respectively.