- Making The Error Controlling Algorithm of Observable Operator Models Constructive
- Modulated Modules: Designing Behaviors as Dynamical Systems
- Multifunctionality: a fundamental property of behavior mechanisms based on dynamical systems
- Observable Operator Models 1 Observable Operator Models
- Observable Operator Processes and Conditioned Continuation Representations1
- Observable operator models II: Interpretable models and model induction1
- Behavior engineering with "dual dynamics" models and design tools Ansgar Bredenfeld, Thomas Christaller, Wolf Gohring, Horst Gunther,
- Proceedings of International Joint Conference on Neural Networks, Montreal, Canada, July 31 -August 4, 2005 0-7803-9048-2/05/$20.00 2005 IEEE
- Ernst Strngmann Forum on Biological Foundations and Origin of Syntax
- Dual Dynamics: Designing Behavior Systems for Autonomous Robots1
- The "echo state" approach to analysing and training recurrent neural networks with an
- Efficient Estimation of OOMs Herbert Jaeger, Mingjie Zhao, Andreas Kolling
- Herbert Jaeger Generating exponentially many periodic
- Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal
- Experiences Using the Dynamical System Paradigm for Programming RoboCup Robots
- Norm Observable Operator Models Ming-Jie Zhao
- Characterization of ergodic hidden Markov sources Alexander Schonhuth, Member, IEEE and Herbert Jaeger, Member, IEEE
- A Bound on Modeling Error in Observable Operator Models and an Associated Learning
- Optimization and Applications of Echo State Networks with Leaky
- Dynamische Systeme in der Kognitionswissenschaft
- From continuous dynamics to symbols1 Herbert Jaeger
- A short introduction to observable operator models of stochastic Herbert Jaeger
- Dynamic Symbol Systems: An Introduction to the Local Model
- MingJie Zhao Herbert Jaeger Norm observable operator models
- MingJie Zhao Herbert Jaeger The Error Controlling Algorithm for Learning
- A tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the
- Erratum note for the techreport, The "echo state" approach to analysing and training
- Forschungszentrum Informationstechnik
- Discrete-time, discrete-valued observable operator models: a tutorial1
- The Dual Dynamics Design Scheme for Behavior-based Robots: A Tutorial
- Identi cation of Behaviors in an Agent's Phase Space
- Measure Theory, Integration, Probability: The Essential Pocket Reference
- Essentials of dynamical systems H. Jaeger, August 2006
- Unpublished manuscript prepared for the Ernst Strngmann Forum on Biological Foundations and Origin of Syntax
- Mantas Lukosevicius, Dan Popovici, Herbert Jaeger,Udo Siewert Time Warping Invariant Echo State Networks
- Preprint version of a report article in Science, April 2, 2004, pp 78-80 Harnessing nonlinearity: predicting chaotic systems and saving energy in
- Discrete-time, discrete-valued observable operator models: a tutorial1
- Learning observable operator models via the ES Herbert Jaeger, Mingjie Zhao, Klaus Kretzschmar, Tobias Oberstein,
- Reservoir Computing Approaches to Recurrent Neural Network Training Mantas Lukosevicius
- Action selection for stochastic, delayed reward Herbert Jaeger
- ANNs @ IK 2008 Artificial Neural Networks
- Observable Operator Models 1 An OOM Tutorial
- Dynamische Symbolsysteme (Dynamic Symbol Systems)
- Learning to Ground Fact Symbols in Behavior-Based Joachim Hertzberg, Herbert Jaeger, Frank Schonherr1
