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

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

Resources

Virtual desktop infrastructure (VDI)

No

Bibliography

Books:

Neuroprosthetics: Theory and Practice (Second Edition)

K.Horch, D. Kipke

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

• https://go.epfl.ch/NX-422