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Learning optimal adaptation strategies in unpredictable motor tasks.

In the last decade optimal control theory has become an influential framework for understanding human motor behaviour and its neuronal mechanisms. We extended this theory to the case of simultaneous control and adaptivity in order to model human motor learning for the first time by adaptive optimal feedback control. We confirmed our theoretical results by sensorimotor learning experiments with humans. Our findings were important for a project grant worth ~€500k (German Federal Ministry for Education and Research; Bernstein Focus Freiburg/Tuebingen project A3) and were presented in several invited talks at major international conferences (e.g. Brain repair symposium, Jerusalem, 2011).