Figure 10.

Structure of the network inspired by Dikov et al. (2017) with increasing degree of detail. The network's 3D-structure is represented in the left part; An entire row of pixels is mapped from both EBS to one plane of the SNN. This 2D-layer is where the disparities of the affected pixels are calculated. The center shows the neurons of a 2D-layer, connected according to the constraints of cooperative algorithms, outlines in chapter 4.1.1. Green represents inhibiting and blue exciting synapses. In the right part the outline of micro ensembles are visualized. The cooperative manner of this network relies on micro-ensembles. The retina coordinates are visualized as light blue squares, the blocking neurons as blue circles and the collecting neuron as a red circle. Reprinted by permission from Springer Artificial Neural Networks and Machine Learning (Kaiser et al., 2018).