Generation of oscillatory bursts in a population model with recurrent excitation and uncorrelated noise. (a) Schematic drawing of the reciprocally coupled populations of L10 and Ipc model neurons with local RGC inputs to a small group of L10 neurons. The projections are topographic, but have a certain width as indicated by the spread of arrows. (b) Sample L10 and Ipc population responses (raster plot of spikes) to a stimulus current step delivered to 80 neurons centered on L10 neuron #200. The concurrent voltage response of Ipc neuron #200 is shown in the bottom trace. Single neuron parameters are listed in Table 1. The stimulus, synaptic, and noise parameters are: I0 = 0.18 nA, gL10→Ipc = 1.85 nS, gIpc→L10 = 4.69×10−3 nS, ΔL10→Ipc = 50, ΔIpc→L10 = 50, σe = 0.06 nA, σIpc = 1.5 nA, σL10 = 0.1 nA. The stimulus current is turned on at t = 50 ms and lasts for 250 ms. (c) to (f) Ipc responses for four cross sections through the 5-dimensional parameter space spanned by the spatial width of the synaptic weight distributions ΔL10→Ipc and ΔIpc→L10, and the white noise standard deviations σe, σIpc, and σL10. The four cross sections intersect the point (asterisk) 50, 50, 0.06 nA, 1.5 nA, 0.1 nA, respectively, which is also the parameter set chosen for the sample trace in (b). The Ipc responses are represented in pseudo color (see Fig. 5) by the “average burst score”, which is the burst score (see Methods) averaged over 5 trials. (g) Ipc responses for different values of the Ipc spike-rate adaptation increment,Δgsra,Ipc, and the decay time constant, τsra,Ipc. All other parameters are as in (b).