Description
How does the visual system compute the global motion of an object from local views of its contours? This book describes a neurally based model, implemented as a connectionist network, of how the aperture problem is solved. It provides a structural account of the models performance on a number of tasks and demonstrates that the details of implementation influence the nature of the computation as well as predict perceptual effects that are unique to the model. The basic approach described can be extended to a number of different sensory computations.
