Computational Maps in the Visual Cortex
     Figure 4.7
MiikkulainenBednarChoeSirosh
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Fig. 4.7. Self-organized afferent and lateral weights across V1. The selforganized combined afferent weights (as in Figure 4.6c) and the lateral inhibitory weights (as in Figure 4.9b) are shown for every 12th neuron horizontally and vertically across the V1 network array, starting at neuron (5,5) in the top left corner. (a) The Gaussian weight pattern systematically moves outward away from the center of the anatomical RF the closer the neuron is to the edge of the network, allowing the map to expand to represent the input space better, as shown in Figure 4.8. (b) Similarly, the lateral inhibitory weights of units near the edge of the network are elongated along the edge, allowing sharp responses to form at the edge.