Teaching

ABCCN: Advanced Biology Course in Computational Neuroscience

October–December 2023, École Normale Supérieure, Paris

The course took place every Wednesday from 17:15 to 19:30 in room 319 at ENS, 46 rue d'Ulm, 75005 Paris. See the poster and the detailed program. Registered students can find additional information on the course website.

Recordings are large video files (up to 2 GB); they may take a while to start.

  1. Intro
    Introduction
    Jürgen Reingruber and David Holcman · École Normale Supérieure
  2. #1
    From brain function to clinical issues
    Nathalie Kubis · Hôpital Lariboisière
  3. #2
    Modelling hair cells as sensory receptors and mechanical amplifiers for hearing
    Pascal Martin · Institut Curie
  4. #3
    Modelling the transduction of light into an electrical signal by rod and cone photoreceptors in the retina
    Jürgen Reingruber · École Normale Supérieure
  5. #4
    Neural coding in the retina
    Olivier Marre · Institut de la Vision
  6. #5
    Electrochemistry of synapses and dendritic spines
    Thibault Lagache · Institut Pasteur
  7. #6
    Modeling and data analysis of neuron–glial interactions, from network to protrusions
    David Holcman · École Normale Supérieure
  8. #7
    Models and analysis of brain oscillations
    Boris Gutkin · DEC, École Normale Supérieure
  9. #8
    Modelling spatial memory and navigation
    Denis Sheynikhovich · Institut de la Vision
  10. #9
    Mesoscopic models: from neural circuits to large-scale activity
    Alain Destexhe · Paris-Saclay University
  11. #10
    Big data analysis applied to behavioural neuroscience
    Gisella Vetere · ESPCI Paris
  12. #11
    Les technologies de l’électrophysiologie humaine : de Hans Berger à Elon Musk
    Michel Le Van Quyen · Sorbonne University
  13. #12
    Brain–computer interfaces: principles, algorithms and tools
    Théo Papadopoulo · Université Côte d’Azur, INRIA Sophia Antipolis