Characterization of the spatio-temporal dynamics of the network.

<p>(A) To characterize instantaneous spatial patterning in the network, we calculate the minimum time interval between each neuron’s spike in the time-window (blue filled circles) with all other neurons’ spikes and sort these timings based on their spatial distance. The left side of panel A shows the calculation for the a time window that has a asynchronous activity with relatively large and highly variable time intervals; the right side panel depicts calculation for the time window with a synchronous activity and minimal time differences between the spikes. (B) An example of raster plot obtained from noise driven excitatory only network P_E = 0.15, noise frequency f = 0.00005 (C) Color plot of consecutive T_D calculations; colors indicate the closest timing between spikes of neurons in the given window with all other neurons in the network. (D) Spatial derivative of T_D (dT_D) in each time window. (E) Mean of T_D for consecutive time windows (to which we refer as T_M). The dotted line is a cutoff, which we will use to identify the initiation of the bursting dynamics.