Recurrent Neural Network for Learning and Reproducing Movements
Abstract
In this thesis I study how movements can be learned and stored by a recurrent neural network. Also I investigate how a movement can be associated with an external context, and wether this can be used to produce movements in new orders, depending on changes in this external context.