Neural interfaces
Summary
Neural interfaces (NI) are bioelectronic systems that interface the nervous system to digital technologies. This course presents their main building blocks (transducers, instrumentation & communication), reviews current and upcoming materials and technological solutions for implantable & wearable NI
Content
Introduction and key concepts.
- The Human Body. The Nervous System.
- Scales. Biomaterials. Biomechanics.
- Functions. Electrophysiology.
- Neural Recording.
- Communication. Standards.
Clinical implants for neuromodulation.
- Electrodes and leads: materials, manufacturing, electrochemical impedance spectrocopy
- Function: neuromodulation: Stimulation parameters.
- Implantable neural system: Packaging.
Brain Computer Interfaces.
- Invasive and wearable technologies.
- Electrodes. Scale and density.
- Metallic (macroscopic) electrodes.
- Silicon-based (micromachined) electrodes.
- Flexible probes
- Multimodal probes
- Biointegration
Implantable electronics.
- Miniaturized CMOS-based interfaces
- Neural amplifiers
- Digitization and compression methods and circuits
- Neurostimulation methods and circuits
- Classification of neural data
- BCI systems
- Spike sorting, decoding and control
- Wireless power and data transmission
By the end of the course, students will be able to design, analyze, and critically evaluate neural interface systems by integrating knowledge of neural physiology, bioelectronics, circuit design, and signal processing, with applications ranging from neuroscience research to clinical neuroprosthetics.
Keywords
Electrodes
Microfabrication
Biomaterials
Implantable electronics
Circuit design
Low-power electronics
Machine learning
Telemetry
Neural Engineering
Learning Prerequisites
Required courses
Basic circuit analysis, Basic electronics
par example, EE-295, EE-296
Recommended courses
Background in electronics e.g. EE-202, EE-203, EE-295, EE-296
Analog IC design EE-320
Sensors MICRO-330, Microfabrication e.g. MICRO-301, MICRO-331
Materials MSE-207, MSE-208, BIO315
Background in neuroscience BIO311
Important concepts to start the course
Basic concepts in electronics and circuit analysis
Learning Outcomes
By the end of the course, the student must be able to:
- Design
- Develop
- Sketch
- Integrate
- Propose
- Plan
Transversal skills
- Communicate effectively, being understood, including across different languages and cultures.
- Keep appropriate documentation for group meetings.
- Give feedback (critique) in an appropriate fashion.
- Make an oral presentation.
- Write a scientific or technical report.
Teaching methods
Ex cathedra lectures
In-class Exercices (once a month)
Team project (throughout the semester)
Expected student activities
attend weekly lectures
read proposed references
develop a team project
Assessment methods
Assessment will be completed entirely during the semester (Semester Branch).
1. in-class evaluation (40%)
two (2x20%) in-class, graded tests, closed book
2. Team project (60%)
project report (40%)
team oral presentation (20%)
Supervision
| Office hours | No |
| Assistants | Yes |
| Forum | Yes |
Resources
Virtual desktop infrastructure (VDI)
No
Bibliography
Neuroprosthetics: Theory and Practice (Second Edition)
K.Horch, D. Kipke Brain computer interface technologies Claude Clément
Design of Analog CMOS Integrated Circuits, 2nd Edition, B. Razavi, McGraw-Hill
Ressources en bibliothèque
- Brain computer interface technologies / Claude Clément
- Neuroprosthetics: theory and practice / Horch, Kipke. - 2nd edition
- Design of Analog CMOS Integrated Circuits / Razavi
Notes/Handbook
lecture slides on moodle
Moodle Link
In the programs
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: During the semester (winter session)
- Subject examined: Neural interfaces
- Courses: 4 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional