Fig 1. Network architecture and modeling of the study by Xu et al. [1] in the LIF-SORN.

(A) Distribution of neurons on the 2D grid of one network instance. Blue lines show all connections projecting from the excitatory population to an example excitatory neuron after 500 s of simulation time. Connections spanning a larger distance are unlikely to exist, due to the distance dependent connection probability. (B) Cross-section of the rate r_spot of the Poissonian input spike trains with Δx being the distance to the center of the spot. (C) Distribution of the excitatory neurons including the start point $\tilde{S}$, mid point $\tilde{M}$ and end point $\tilde{G}$ of the trajectory of the moving spot used in most experiments. The colored circles define the neurons that are pooled together for the analysis of the sequence learning ability.