Part of Advances in Neural Information Processing Systems 4 (NIPS 1991)
Paul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski
This paper briefly describes an artificial neural network for preattentive visual processing. The network is capable of determiuing image motioll in a type of stimulus which defeats most popular methods of motion detect.ion - a subset of second-order visual motion stimuli known as drift-balanced stimuli(DBS). The processing st.ages of the network described in this paper are integratable into a model capable of simultaneous motion extractioll. edge detection, and the determination of occlusion.