This paper presents experimental results on the learning of synchrony between human and a robot arm when they interact in a handshaking situation. The controller is based on two coupled nonlinear neurons (central pattern generator, CPG) that are able to learn to oscillate at different frequencies depending on a biological inspired learning mechanism. This mechanism uses interaction force measured in the robot joint as a learning signal. Results show that the CPG learns and follows the human rhythm easily and then enjoy it.