Modélisation

Master 1 - Semester 1

• NEURO 101 - Introduction to cognitive neurosciences
• MOD 101 - Introduction to modelling brain, mind, and behavior
• NEURO 102 - Methods in neuroimaging

Master 1 - Semester 2

• MOD 201 - Computational neuroscience methods
• MOD 202 - Computational neuroscience 
• STATS 201 - Inferential and causal methods for cognitive sciences

Master 2 - Semester 1

• COGENG 302 - Augmented Cognition
• COGSCI 306 - Visual perception
• COGSCI 307 - Auditory perception 
• COGSCI 310 - Action, decision, volition
• COGSCI 313 - Neuro economics
• COGSCI 314 - Robotic modelling approaches to Cognitive Sciences
• COGSCI 316 - Machine Learning for Cognitive Sciences: Principles and 
  Applications
• COGSCI 317 -  Interplay between deep learning and cognitive science
• COGSCI 318 - Theoretical Neuroscience

External Courses

• Algorithms for speech and natural language processing
   
• Other external courses to strengthen technical skills in mathematics, physics, computer science or engineering sciences: contact jean-pierre.nadal@phys.ens.fr
  
  Many Cogmaster courses have a significant formal/modeling component. The Modeling major involves more specifically the reinforcement of skills in tools (mathematics, computer science) and the acquisition of advanced knowledge on formal or modeling approaches in cognitive science fields.
  
  However, the Modeling major is primarily oriented towards modeling in cognitive neuroscience, modeling that allows one to go from the neuron to the network, from the network to the behavior or to a cognitive function, with also a look at the interface between cognitive neuroscience and artificial intelligence.
  
  Nevertheless :
  
  If one is interested in the study of language, the following courses are of interest in the Modeling major: