Click on the image to see a PDF version (for zooming in)

Fig. 6.3. Architecture of the reduced LISSOM model. As long as Gaussian patterns are used as input, it is not necessary to include separate ON and OFF channels in the model. Instead, the input can be directly presented as ON channel activations. For simplicity and compatibility with other similar models, this channel is called the Retina, and its neurons are referred to as photoreceptors. The afferent connections form a local anatomical receptive field directly on the redefined retina; the lateral connections are similar to those in other LISSOM models. The reduced model is more efficient to simulate computationally than the full LISSOM, with equivalent results (as shown in Figures 6.4 and 6.5).