Course Description:

How close are we to controlling everything with our “thoughts”? Is the full-dive technology depicted in the anime Sword Art Online achievable in reality? What exactly is Elon Musk’s company, Neuralink, researching? In this class, we’ll explore Brain-Computer Interface (BCI) technology from a scientific and engineering perspective. Starting with neuroscience, we’ll gradually move on to learn common engineering techniques such as signal processing and machine learning. We’ll collect and process EEG data hands-on, read and discuss the latest advancements in academia and industry, and ultimately aim to create a simple BCI system.

Lecture Slides

• Lecture 0 Introduction to Common BCI Applications
• Lecture 1 Introduction to Computers and Programming Languages
• Lecture 2 Basic Neuroscience
• Lecture 3 Recording Techniques
• Lecture 4 Signal Processing Part I
• Lecture 5 Signal Processing Part II
• Lecture 6 Machine Learning

Projects

• Neural Signal Operated Intelligent Robot: Human-guided Robot Maze Navigation through SSVEP
  • Team Member: Charlotte Tang, Tingrui Sun
  • Github Repo  Paper  Video
• EMG Speller
  • Team Member: Charlotte Tang, Tingrui Sun, Valentino Cui, Bobby Chen
  • Github Repo  Paper(in Chinese)  Video
• EMG GoogleDinoGame
  • Team Member: Tingrui Sun, Charlotte Tang, Bobby Chen, Valentino Cui
  • Github Repo  Video

Alumni

• Coco Xu, UC Berkeley
• Aether Cui, National University of Singapore
• Julia Deng