Visual motion detection based on a cooperative neural network architecture
A neural network architecture for visual direction detection is proposed. The approach assumes a continuous flow of visual stimuli as input. The output of the network will as a consequence be a continuous flow as well. Each node in the network signals when motion is occurring at their position. Other nodes make use of this information in their computations. This allows, from a computationally view
