Learning to Perceive the World as Articulated: An Approach for Hierarchical Learning in Sensory-Motor Systems (1999)

Cached

Download Links

by Jun Tani , Stefano Nolfi
Venue:NEURAL NETWORKS
Citations:94 - 23 self

Active Bibliography

Hierarchical Learning in Sensory-Motor Systems – Jun Tani, Stefano Nol
8 Self-Organization of Modules and Their Hierarchy in Robot Learning Problems: A Dynamical Systems Approach – Jun Tani, Stefano Nolfi - 1997
26 An interpretation of the ‘self’ from the dynamical systems perspective: A constructivist approach – Jun Tani - 1998
4 On the interactions between top-down anticipation and bottom-up regression – Jun Tani - 2007
11 Adaptive Behavior in Autonomous Agents – Tom Ziemke - 1998
2 Development of hierarchical structures for actions and motor imagery: a constructivist view from synthetic neuro-robotics study – Ryunosuke Nishimoto, Jun Tani - 2009
6 A model for learning to segment temporal sequences, utilizing a mixture of RNN experts . . . – Jun Namikawa, Jun Tani - 2008
80 Model-based Learning for Mobile Robot Navigation from the Dynamical Systems Perspective – Jun Tani - 1996
Self-Organization of Behavioral Contexts in Dynamic Exploration and Learning of Robots – Jun Tani - 1999
29 Learning semantic combinatoriality from the interaction between linguistic and behavioral processes – Yuuya Sugita, Jun Tani - 2005
9 Codevelopmental learning between human and humanoid robot using a dynamic neural network model – Jun Tani, Ryunosuke Nishimoto, Jun Namikawa , Masato Ito - 2008
4 Learning of Multiple Goal-Directed Actions through . . . – Ryu Nishimoto, Jun Namikawa, Jun Tani - 2008
2 Time Series Analysis And Prediction Using Recurrent Gated Experts – Christoph Gilde - 1996
4 Learning to imitate stochastic time series in a compositional way by chaos – Jun Namikawa, Jun Tani
Achieving "Organic Compositionality" through . . . – Jun Tani, Ryunosuke Nishimoto, Rainer W. Paine - 2008
3 A Connectionist Model Which Unifies the Behavioral and the Linguistic Processes: Results from Robot Learning Experiments – Yuuya Sugita, Jun TANI - 2000
39 Learning to generate articulated behavior through the bottom-up and the top-down interaction processes – Jun Tani - 2003
32 Extracting Regularities in Space and Time Through a Cascade of Prediction Networks: The Case of a Mobile Robot Navigating in a Structured Environment – Stefano Nolfi, Jun Tani - 1999
3 Dynamical Interactions between Learning, Visual Attention, and Behavior – Jun Tani, Jun Yamamoto, Hiro Nishi - 1997