Synaptic weight structure of a network model that has been manually prewired in order to produce head-centred output neurons with input neurons that are modulated by a sigmoidal function of eye-position.

The figure shows the structure of the canonical weight vector resulting from the prewiring Eqs 14 and 15. Each of the two rectangles represents the topographic organisation of one half of the input population in terms of retinal-preference (αi) and eye-position preference (βj), with the input neurons in the left rectangle having κ > 0 (positive gain) and the right rectangle having κ h will have elevated connections from input neurons with preferences located in the right-angled triangles of the input space, labeled A and B.