Teaching

Computational Neuroscience

Course co-coordinator (w/ Boris Gutkin) at Cognitive Science master @ ENS, Paris.

Module 1. Modeling Behaviour (5 lectures)

• The Rescorla-Wagner Rule + Exploration-Exploitation (Boris)
• Reinforcement Learning: TDRL & Model-Based Approaches (Boris)
• Reinforcement Learning as Rational Decision-Making (Boris)
• Perceptual Decision-Making: Drift Diffusion Model (Boris)
• Inferring Latent Behavioral States (Heike Stein)

Module 2. Encoding/Decoding Models of Neural Data (3 lectures)

• Introduction to Neural Data: Encoding/Decoding Dichotomy (Joao)
• Neural Encoding (Joao)
• Neural Decodin g(Joao)

Modue 3. Network Models of Cognition (4 lectures)

• Building Blocks: Single Neuron Models (Piere Houzelstein)
• Feed-Forward vs. Recurrent Networks (Joao)
• Linear Dynamical Systems (Joao)
• Modeling Complex Cognitive Tasks (Joao)

Drop me an email if you want the slides for my lectures.

Model-Based neuroimaging

Invited lecturer on at the Cognitive Science Master (Paris Cité).

(2 lectures)

• Biophysical models: from synapses to EEG
• Inferring network models from data

Drop me an email if you want the slides for my lectures.