Volker Willert and Julian Eggert, "Adaptive Velocity Tuning for Visual Motion Estimation", European Symposium on Artificial Neural Networks (ESANN), 2010.

In the brain, both neural processing dynamics as well as the perceptual interpretation of a stimulus can depend on sensory history. The underlying principle is a sensory adaptation to the statistics of the input collected over a certain amount of time, allowing the system to tune its detectors, e.g. by improving the sampling of the input space. Here we show how a generative formulation for the problem of visual motion estimation leads to an online adaptation of velocity tuning that is compatible with physiological sensory adaptation and observed perceptual effects.