IEEE Brain Virtual Summer School 2020
Neural Engineering is one of the most exciting inter-disciplinary technologies to impact neuroscience and information science, computation and robotics. A greater understanding of the brain and how it learns, acts, and interprets the world has immensely impacted the development of neural interfaces and the design of bio-inspired robots. The basic concept of signal processing and machine learning is a fundamental tool to understand neural coding, and finds applications in neural interfacing, neural prostheses, and neuromorphic brain-based robots.
Concepts from filtering, probabilistic estimation, and machine learning will be introduced in the summer school so that students can understand and implement real examples of neural engineering, and recognize the impact of the latest technologies. The course will enhance the vision of the students and encourage them to work in future inter-disciplinary research fields. Students are expected to obtain knowledge of neurophysiology and neuroscience, digital signal processing, machine learning, and hands-on experience through reports and projects on real data.