A neural model for binocular vergence control without explicit calculation of disparity

A computational model for the control of horizontal vergence, based on a population of disparity tuned complex cells, is presented. The model directly extracts the disparity-vergence response by combining the outputs of the disparity detectors without explicit calculation of the disparity map. The resulting vergence control yields to stable fixation and has small response time to a wide range of disparities. Experimental simulations with synthetic stimuli in depth validated the approach