Neural Engineering and Electronic Engineering: Sensory Nerve and BMI Signal Processing

Course 5: Neural Engineering and Electronic Engineering: Sensory Nerve and BMI Signal Processing

I. Course Description

Neural engineering and neurotechnology is an interdisciplinary field that combines the principles of neuroscience, engineering, and technology to explore the function of the human brain and develop innovative solutions for understanding and manipulating neural processes. This course provides a comprehensive overview of the basics of neural engineering and brain-computer interface technology. By learning the basic principles and techniques of neural engineering, you will understand how the brain and the nervous system works, and learn how to use engineering and technical means to study and interfere with neural activity. The course will cover the application of BCI in rehabilitation medicine, intelligent control, and human-computer interaction, and explore the development direction and challenges of future neural engineering and BCI technologies.

This course aims to introduce students to the main principles and methods of neural engineering and neural techniques, covering multiple organizational levels, from molecules to behavior, and the different engineering approaches used in the field.

II. Professor Introduction

Andrei Kozlov – Professor at Imperial College London

The professor works at the Department of Bioengineering at Imperial College and founded the KOZLOV LAB, a laboratory named after his name, specializing in auditory neuroscience and biophysics, including how the inner ear transforms sounds into electrical signals, and how the auditory cortex interprets these signals. His research was supported by the Network of Excellence Award from Imperial College London, the Frontier Research Excellence Fund from Imperial College London, the Wellcome Trust, and the Royal Society.

Dr.Andrei Is an expert in sensory neuroscience and biophysics. After receiving his PhD in the field of ion channel biophysics at the University of Louis Pasteur in Strasbourg, he studied astrocytes during his first postdoctoral work (ESPCI, how they regulate the neural circuits in the central nervous system in Paris).

III. Syllabus

1. Introduction to neuroengineering and neurotechnology: the basic principles of the brain and nervous system; organizational hierarchy; temporal and spatial scale
2. Biophysics of the nervous system. Electrical signals, circuit basis, and properties of excitable cells
3. Neuronal circuit processing and information transmission
4. Foundation of electronic engineering: microelectronics and signal of neural technology
5. Frontier of neural technology: “brain-computer”, “brain-computer” interface
6. Sensory neuroscience; auditory, cochlear implant, and classical brain-computer interface
7. Sensory neuroscience; visual, retinal implantation
8. Computer vision and brain-inspired artificial intelligence
9. Motor neuroscience, action planning, attention, and executive control
10. Neuroeconomics