Fig. 3: Representative simulations illustrating the dynamics of the LIF network model in response to different external input values.

A Spike raster plots of the excitatory (E) and inhibitory (I) populations spanning 100 ms of spontaneous activity (top), spike counts in bins of width Δt (middle) and current dipole moment along the z-axis (P_z, bottom) for one of the six separate trials that were computed for this example. B Trial-averaged normalized power spectra of CDMs for the different values of external synaptic currents. C Features extracted from the CDMs across trials using the specparam library (1/f slope) and catch22 (dfa, rs range, and high fluctuation). For illustration, we focus on these three features from the catch22 subset, although we noted that most of the catch22 features exhibited marked trends in response to variations of the external input. A comprehensive description of the various catch22 features and their properties can be found in the associated publication⁶⁵.