Abstract
One of the distinguished characteristics of human binocular visual space is the phenomenon which is represented as horopter and parallel or distance alley. In this paper, neural network models of space perception using binocular vision are presented to find out how the bipolar parallax and the bipolar latitude are mapped onto the depth sensation. One of the proposed models based on the neural network model shows the characteristics of horopter and alley which is similar to the human space perception. A structure of the model represents how the space perception is generated in the human brain.
