A bottom up approach towards the acquisition and expression of sequential representions applied to a behaving real-world device: Distributed Adaptive Control III

Sequence Learning in Mobile Robots Using Avalanche Neural Networks

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II

Isotropic sequence order learning

Neural Computation

ISO learning approximates a solution to the inverse-controller problem in an unsupervised behavioral paradigm

Neural Computation

Learning obstacle avoidance with an operant behavior model

Artificial Life

Roboser: A Real-World Composition System

Computer Music Journal

Strongly improved stability and faster convergence of temporal sequence learning by using input correlations only

Neural Computation

Strongly improved stability and faster convergence of temporal sequence learning by using input correlations only

Neural Computation

Learning with “Relevance”: Using a Third Factor to Stabilize Hebbian Learning

Neural Computation

Formal modeling of robot behavior with learning

Neural Computation