Space perception model with generates horopter

Neural network models of space perception using binocular vision are presented to find out how the convergence angle and the bipolar latitude are mapped onto the depth sensation. It is considered that the horopter and parallel distance alleys, which have been thought to be phenomena in psychology, are actually structural characteristics of signal processing in the human neural network, resulting from the learned transformation of binocular eye movement information into a subjective orthogonal coordinate system. Psychological and physiological knowledge offers several space perception models with different signal processing structures. In learning simulation experiments, the models generated horopter, parallel alley, and distance alley results which were similar to those of a human being. On the basis of these results, it is concluded that the signal processing system in human space perception uses the essential signal space for each perception as the signal space for interaction between signals