The goal of this work is to create a part mechanical, part biological robot that operates on the basis of the neural activity of rat brain cells. In our method, first the rat learns to move the robot by pressing the right and left lever in order to get food. Then, we utilize the data of multi-electrode recordings to train artificial neural networks, which are later employed to control the robot motion based on the brain activity of rats. The results show a good performance of artificial neural network controlling the real robot.
['Genci Capi', 'Toshihide Takahashi', 'Kazunori Urushiyama', 'Shigenori Kawahara']
Controlling the robot using the brain signals