3 credits
20.0 h + 10.0 h
Q2
Teacher(s)
Lee John; Lee John (compensates Missal Marcus); Missal Marcus coordinator;
Language
French
Content
(1) Necessity of a theoretical approach in neurosciences. (2) History of neural networks. (3) Most important types of neural networks
At the end of this unit, the student should be able to justify mathematical modeling of the central nervous system. The student should be able to explain the general principles of neural networks and have the knowledge and skills to simulate the behavior of elementary neural networks using MATLAB NNTool GUI.
At the end of this unit, the student should be able to justify mathematical modeling of the central nervous system. The student should be able to explain the general principles of neural networks and have the knowledge and skills to simulate the behavior of elementary neural networks using MATLAB NNTool GUI.
Teaching methods
Lectures and critical paper readings.
Evaluation methods
Oral examination
Other information
Prerequisites: introduction to linear algebra and differential calculus.
Online resources
https://moodleucl.uclouvain.be/course/view.php?id=9189
Bibliography
- https://moodleucl.uclouvain.be/course/view.php?id=9189
Teaching materials
- https://moodleucl.uclouvain.be/course/view.php?id=9189
Faculty or entity
FASB
