On December 5, the academic lecture of AU organized by the School of Automation Science and Engineering was held on the sixth floor conference room of Building 3. The topic of this lecture was Tracing the Neural Plasticity of the Motor Cortex in the Brain-computer Interface and Prof. Wang Yiwen from Hongkong University of Science and Technology was invited to this issue as the major guest. The lecture was chaired by Prof. Yu Zhuliang.

  Before the lecture, Prof. Yu gave a brief introduction to Prof. Wang. First of all, Prof. Wang described the brain's ability to form significant mechanisms for learning and adapting to the environment, which was as part of the brain's ability to control neuroprosthetic devices through the brain-machine interface (BMI). Then, a non-stationary tuning algorithm that could decode the spike timing structure directly by calculation was proposed to improve BMI stability. Finally, Prof. Wang showed an experimental application on monkeys. Through the motor cortex multichannel neural stimulation sequence training, they could achieve the use of joystick to perform exercise tasks.

  In the lecture, students showed great interest and they deeply felt the charm of science and technology and learned a lot from this lecture.