Courses en modélisation cognitive, neurothéorie et IA.
Cours M1 S1
- Cognitive models and artificial intelligence, par A. Cayco Gajic
- Mathematical tools for data science, machine learning, and statistical modeling, par A. Cayco Gajic
Cours M1 S2
- Computational neuroscience methods, par S. Ostojic
- Computational neuroscience, par B. Gutkin
- Understanding human behavior with cognitive models, par V. Wyart
Cours M2 S3 24-25
- Interplay between deep learning and cognitive science
- Machine Learning for Cognitive Sciences: Princip. and Appl.
- Robotic modelling approaches to cognitive sciences
- Theoretical Neuroscience
Cours M2 S3 25-26
- Action, decision, volition, par E. Koechlin
- Interplay between deep learning and cognitive science, par L. Bonnasse-Gahot
- Learning and decision making, par S. Palminteri & M. Lebreton
- Machine cognition, par E. Chemla, V. Wyart & S. Palminteri
- Machine learning: principles and applications, par S. Cocco
- Theoretical neuroscience, par J. Ranft et S. Ostojic
- The bayesian brain, par F. Meyniel
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