Unsmearing visual motion: Development of long-range horizontal intrinsic connectionsK.E.MartinauthorJ.A.MarshallauthorHuman vision systems integrate information nonlocally, across long spatial ranges. For example, a moving stimulus appears smeared when viewed briefly (30 ms), yet sharp when viewed for a longer exposure (100 ms) (Burr, 1980). This suggests that visual systems combine information along a trajectory that matches the motion of the stimulus. Our self-organizing neural network model shows how developmental exposure to moving stimuli can direct the formation of horizontal trajectory-specific motion integration pathways that unsmear representations of moving stimuli. These results account for Burr's data and can potentially also model other phenomena, such as visual inertia.Artificial IntelligenceMachine LearningMachine VisionNeural NetsStatistical ModelsPerceptual Cognitive Psychology1993San Mateo: CA: Morgan KaufmanBook Chapter