Feed-Forward Segmentation of Figure-Ground and Assignment of Border-Ownership
Figure 2
Architecture, connectivity and input scheme of the computational model.
A: The model consists of three layers, which are unidirectional connected. Arrows define feedforward connections. The neural interactions are specific for feature preference. Lower two squares indicate the input (white regions) of the figure (left) and background (right). B: All layers receive point-to-point (retinotopic) excitatory input. Second and third layers also receive inhibitory input from all or one preceding neuron(s), respectively. C: The model input may correspond to the figure and background of a figure-ground texture as illustrated in figure 1b. Dotted lines demarcate the stimuli.