M1 S1 Courses
- Cognitive models and artificial intelligence, by A. Cayco Gajic
- Mathematical tools for data science, machine learning, and statistical modeling, by A. Pellegrino
M1 S2 Courses
- Neural modelling, by S. Ostojic
- Foundations of computational neuroscience, by B. Gutkin & J. Barbosa
- Understanding human behavior with cognitive models, by V. Wyart
M2 S3
- Action, decision, volition, by E. Koechlin
- Interplay between deep learning and cognitive science, by L. Bonnasse-Gahot
- Learning and decision making, by S. Palminteri & M. Lebreton
- Machine learning: principles and applications, by S. Cocco
- Theoretical neuroscience, by J. Ranft et S. Ostojic
- The bayesian brain, by F. Meyniel
ENS-PSL minors:
Beyond their master’s degree, students interested in cognitive modeling, neurotheory and AI can complete any ENS-PSL minor of their choice, including the following: