Principles of neuroengineering
GNEU0001-1, University of Liège, Fall 2023
Instructors: Lecturers: Guillaume Drion, Alessio Franci, Christophe Phillips, Pierre Sacré Teaching assistants: Anaëlle De Worm
Lectures: Tuesdays, 1:45pm-5:45pm in B28 R75
Communication: Ed Discussion is our primary digital channel for communication about the course. Sign up here: (use your @student.uliege.be email address). If you haven't received a registration email by the first day of the class, send an email to . An announcement about the course organization is waiting for you there.
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Announcements
- Please, follow the Julia tutorial before next session and come with a laptop to the next session.
- Welcome to the Fall 2023 edition of GNEU0001!
Schedule and materials
Slides are made available as the semester progresses.
This tentative schedule is subject to change.
Date | Lecturer | Description |
---|---|---|
Tue 19/09 |
(all)
GD |
Introduction
Biophysics-based models |
Tue 26/09 | GD | Tutorial on biophysics-based models (Julia notebooks) |
Tue 03/10 | GD | Laboratory of neurophysiology (with Prof. Vincent Seutin, Laboratory of Neurophysiology, ULiège) |
Tue 10/10 | PS | Spike-based models |
Tue 17/10 | PS | Tutorial on spike-based models (Julia notebooks) |
Tue 24/10 | PS+AF | Laboratory on event-based cameras and BrainScale2 neuromorphic chip |
Tue 31/10 | (no class) | (no class) |
Tue 07/11 | CP |
Neuronal activity & BOLD signal dynamic modelling
Laboratory fMRI, part 1 |
Tue 14/11 | CP |
Brain activity modelling
Laboratory fMRI, part 2 |
Tue 21/11 | CP | Tutorial on dynamic modeling/fMRI |
Tue 28/11 | AF | Laboratoy on rate-based models (with Dr. Román Rossi Pool, Cellular Physiology Institut, Mexico) |
Tue 05/12 | AF | Rate-based models |
Tue 12/12 | AF | Tutorial on rate-based models (Julia notebooks) |
Tue 19/12 | (no class) | (no class) |
Additional materials
Most relevant books (see on myULiège):- Theoretical neuroscience: computational and mathematical modeling of neural systems L. Dayan and L. F. Abbott. MIT press, 2001
- Neuronal dynamics: from single neurons to networks and models of cognition W. Gerstner, W. M. Kistler, R. Naud, and L. Paninski. Cambridge University Press, 2014