Teaching

2009:

• Topics in Computational and Theoretical Neuroscience (9 lectures, Feb-Apr 2009). CAAM 499 sec 1
  • Slides Lecture 1, "Population encoding and decoding"
  • Slides Lecture 2, "Correlated population activity"
  • Slides Lecture 3, "Perception as inference"
  • Slides Lecture 4, "Cue combination"
  • Slides Lecture 5, "Gestalt principles, Bayesian networks, and model comparison"
  • Slides Lecture 6, "Neural basis of Bayesian inference"
  • Slides Lecture 7, "Decision making"
  • Slides Lecture 8, "Learning"
  • Slides Lecture 9, "Probabilistic models of cognition"
• Cognitive Neuroscience I (guest lecture, April 2009). GS140023 / Neuroscience 501 / Psychology 575
  • Slides, "Computational approaches to perception and cognition"
• Computational Neuroscience (short course, June 22-26, 2009). Instituto Gulbenkian de Ciência.
  • Slides, "Population coding"
  • Notes, "Population coding"
  • Slides, "Bayesian model comparison"
  • Slides, "The neural basis of Bayesian inference"
• Introduction to Neuroscience Methods - Neuron Models (1 lecture and 1 lab, Sep 2009)
  • Slides, "Neuron models"
  • Instructions for installing "Brian" 
  • "Brian" simulator homepage
  • Exercises for lab
  • Izkihevich (2004), "Which model to choose for cortical spiking neurons?"