Figure 2
From: Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links
Spontaneous noise in the SSWD recurrent network.
The network receives neither external input nor background noise and hence activity is spontaneous. (a) Upper, Spike raster of excitatory (red) and inhibitory (blue) neurons in the noisy spontaneous firing state. Lower, The population firing rates of excitatory (red) and inhibitory (blue) neurons. (b) Firing rate distributions of excitatory (red) and inhibitory (blue) neurons can be fitted by lognormal distributions (black lines). Mean firing rates are 1.6 and 14 [Hz] for excitatory and inhibitory neurons respectively. (c) CVs of inter-spike intervals are distributed around unity in excitatory (red) and inhibitory (blue) neurons. (d) Time courses of the membrane potentials of excitatory (red) and inhibitory (blue) neurons exhibit large amplitude fluctuations. (e) Scatter plot of the instantaneous population activities of excitatory and inhibitory neurons. The solid line represents linear regression. (f) Distribution functions of the fluctuating membrane potentials show the depolarized states of excitatory (red) and inhibitory (blue) neurons. (g) The mean (solid) and standard deviation (dashed) of the membrane potential fluctuations of an excitatory neuron when all EPSPs smaller than the minimum value given in the abscissa are eliminated. Here, we remove a portion of excitatory synapses on a neuron from the weakest ones.
