The role of internal oscillators for the one-shot learning of complex temporal sequences
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Transition cells for navigation and planning in an unknown environment
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Efficient neural models for visual attention
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Why and how hippocampal transition cells can be used in reinforcement learning
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
| Hi-index | 0.00 |
In this paper, we present two graphical softwares which help the modeling and the simulation of real time, distributed neural networks (NNs). Used in the frame of the development of control architectures for autonomous robots, these softwares allow a real time control and an on-line learning of different behaviors. We present as an illustration two control architectures: the first one allowing a mobile robot to navigate using on-line learning of visual places, and the second one allowing a robotic head to learn to express a given set of emotions during imitation games.