Teaching

Course Book

The laboratory of Computational Neuroscience (LCN) is committed to high-quality training and education of EPFL students on various aspects of neuronal modeling and neural networks. This activity is distributed as follows:

  • Artificial neural networks

    Since 2010 approaches in deep learning have revolutionized fields as diverse as computer vision, machine learning, or artificial intelligence. This course gives a systematic introduction into the main models of deep artificial neural networks: Supervised Learning and Reinforcement Learning.

    MINEUR, Spring semester
    Section of Communication Systems, Master semester 2
    Section of Communication Systems, Master semester 4
    Section of Computer Science, Master semester 2
    Section of Computer Science, Master semester 4
    Section of Life Sciences Engineering, Master semester 2
    Section of Life Sciences Engineering, Master semester 4
    Section of Mathematics, Master semester 2
    Section of Mathematics, Master semester 4
    Teachers : Gerstner Wulfram.
    Language : english
    Academic term : 2019-2020


  • Biological modeling of neural networks

    Auditeurs, Spring semester
    Doctoral Program in Electrical Engineering,
    Doctoral Program in Neuroscience,
    MINEUR, Spring semester
    Section of Communication Systems, Master semester 2
    Section of Communication Systems, Master semester 4
    Section of Computer Science, Master semester 2
    Section of Computer Science, Master semester 4
    Section of Electrical and Electronical Engineering, Master semester 2
    Section of Electrical and Electronical Engineering, Master semester 4
    Section of Life Sciences Engineering, Master semester 2
    Section of Life Sciences Engineering, Master semester 4
    Section of Mathematics, Master semester 2
    Section of Mathematics, Master semester 4
    Teachers : Gerstner Wulfram.
    Language : english
    Academic term : 2019-2020