Feature Extraction of Neuron Group Composed of Two Different Firing Patterns Using Nonlinear Analysis

In our previous work, feature visualization using nonlinear analysis has been proposed for time series of spike firing rates of neuronal activity. In this study, we investigate the neuronal activity of two mixed types of neurons: regular spiking and chattering. We investigate the effects of an increased rate of the number of chattering neurons.