Figure 1.

(A) Schematic of the model. Model neurons are recurrently connected (double arrows) within and between the E neuron (circles) and I neuron (square) layers. Synaptic weights between neurons are governed by the “short” (j_short) and “long” (j_long) distances between neurons on the ring structure. During the saccade tasks, an external cue current is fed into the E neuron layer as depicted. (B) Example of the effective current distribution from E neuron x_i to neurons within the E layer that results from activating neighboring E and I neurons. (C) Example of neuron spatial distributions during clustering simulations. Black circles represent E neurons as in (A). The dashed line represents the maximum nearest-neighbor distance (d_far) between neurons. As clustering is increased, d_far is increased while the minimum nearest-neighbor distance (d_near) is decreased. E, excitatory; I, inhibitory.