TY - CPAPER AB - For a robot to successfully learn from demonstration it must posses the ability to reproduce the actions of a teacher. For this to happen, the robot must generate motor signals to match its proprioceptively perceived state with that of the visually perceived state of a teacher. In this paper we describe a real time matching model at a neural level of description. Experimental results from matching of arm movements, using dynamically simulated articulated robots, are presented. AU - Eneje,E AU - Demiris,Y EP - 99 PY - 2003/// SP - 95 TI - Towards Robot Intermodal Matching Using Spiking Neurons UR - http://lasa.epfl.ch/events/events/iros03workshop/ UR - http://hdl.handle.net/10044/1/12620 ER -