- The student is familiar with the main problems in the field of visual perception and motor control
- The student is familair with Information Theory (Mutual information and maximum log likelyhood estimator) to estimate information transfer
- The student can apply deterministic optional control (including Hamilton-Jacobi-Bellman equation and Pontryagin Maximum Principle)
- The student has the mathematical skills to develop advanced models to explain recent experimental data in a unified conceptual frame work
The first eight weeks of the course deal with sensorimotor processing (eye movements, eye-head coordination, 3D motor control of the oculomotor system, nonlinear systems analysis (Wiener theory), cochlear mechanics and visual receptive fields. This material is described in a syllabus (blackboard).|
In the second halve of this course we will present the general principles of state estimation in the brain, and optimal control.
These principles are illustrated by discussing the functional characteristics of the visual system and motor system in man.
In the second part we follow the book of Shadmehr and Mussa-Ivaldi.