Figure 3 | Scientific Reports

Figure 3

From: A spiking neural network model of the Superior Colliculus that is robust to changes in the spatial–temporal input

Figure 3

(af) Burst profiles of the input layer neurons in response to changes in the spatial–temporal parameters of the external input currents (see also S1 Table in Supporting Information). Red curve corresponds to the default parameter set. (a) Spatial distribution of the peak spike-density functions for σpop in 0.05–1.0 mm, and I0 in 2.0–3.0 pA at T = 15 deg. (b) Spike densities as function of time for the central neuron of the populations in (a). (c,d) Spatial (c) and temporal (d) spike-density distributions for β in 0.019–0.03 s−1, and I0 in 1.2–3.0 pA at the T = 15 deg site (σpop = 0.5 mm). Parameter values of the input currents were chosen such that the SC output generated a fixed number of spikes. (e,f) Spatial (e) and temporal (f) spike-density distributions for β in 0.019–0.03 s−1 and I0 in 0.2–3.0 pA. Parameters now ensured a fixed number of spikes in the input layer. (g) Total number of spikes in the input layer for the two temporal variation scenarios (green and purple data). (h) Same as in (g) for the output layer.

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