Computational Maps in the Visual Cortex
     Figure 5.21
MiikkulainenBednarChoeSirosh
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Fig. 5.21. Self-organization of afferent weights into spatiotemporal RFs. (a) The lag-0 weights for a sample neuron, located as shown in Figure 5.24a, are plotted before self-organization (as in Figure 5.5). Initially, all four lags in both channels have the same random weights; these weights are different for each neuron. (b) The final afferent weights for the same neuron are visualized by subtracting the OFF weights from the ON weights (as in Figure 5.7). Together, these plots show that the most effective stimulus for this neuron is a diagonal light bar moving diagonally down and to the right. More specifically, this neuron will be highly active at time t if there was a light bar aligned with the ON subregion in the "Lag 3" RF at time t-3, a bright bar aligned with the ON subregion of the "Lag 2" RF at time t-2, and so on. Visual cortex neurons in animals have similar spatiotemporal properties (Figure 5.4a; DeAngelis et al. 1995).