Matthias Brucklacher

The paper develops a computational model that distinguishes self-generated from externally caused optic flow using sensorimotor mismatch circuits, validated with mouse data and applicable to primate vision.

This paper shows how a predictive coding network learns invariant object representations and generative models through local prediction error minimization, using dynamic inputs to simulate visual perception.