Principles of neuroengineering
GNEU0001-1, University of Liège, Fall 2022
Instructors: Lecturers: Guillaume Drion, Christophe Phillips, Pierre Sacré Teaching assistants: Anaëlle De Worm
Lectures: Tuesdays, 1:45pm-5:55pm in B28 R75
Communication: eCampus.
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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 2022 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 20/09 | GD |
Introduction
Biophysics-based models [slides] |
Tue 27/09 | (no class) | (no class) |
Tue 04/10 | GD | Tutorial (julia notebooks) [Julia installation, material] |
Tue 11/10 | GD | Lab on DA neurons |
Tue 18/10 | PS | Data-based models [slides] |
Tue 25/10 | GD | Dynamics-based models [slides] |
Tue 01/11 | (no class) | (no class) |
Tue 08/11 | PS | Tutorial (julia notebooks) [material] |
Tue 15/11 | GD | Tutorial (julia notebooks) [material] |
Tue 22/11 | PS | Population dynamics [slides] + Tutorial (julia notebooks) [material] |
Tue 29/11 | CP | BOLD signal dynamic modeling [slides] |
Tue 06/12 | CP | Lab: fMRI data acquisition |
Tue 13/12 | CP | Tutorial: Hands on BOLD data modeling [SPM installation] |
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