A-Novel-Robot-System-Integrating-Biological-and-Mechanical-Intelligence-Based-on-Dissociated-Neural-pone.0165600.s001

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Video of improvement process in the robot’s performance. This video of a differential robot run is running at 3 × real speed. The yellow papers in the middle of the arena are acted as the objects. In the no training phase, the robot controlled by the dissociated neural network makes no correct turn. The increase of correct turn occurs when the high frequency stimuli are added into the dissociated neural network. But there are still some mistakes existing in the first 10 minutes training phase. Further increase of correct turn is observed in the second 10 minutes training phase, which makes the robot closer to the objects as the experiment goes on. All of the improvement in the robot’s performance is independently caused by the plasticity of the dissociated neural network as demonstrated in the Fig 14.

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