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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 adoi:10.1145/1456223.1456247 dblp:conf/wstst/MatthieuPP08 fatcat:3on7fa4wmrd2bjsimr2n3o3mlu