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

    • Simple perceptrons for classification
    • BackProp and Multilayer Perceptrons for deep learning
    • Statistical Classification by deep networks
    • Regularization and Tricks of the Trade in deep learning
    • Error landscape and optimization methods for deep networks
    •  Convolutional networ

      Doctoral Program in Electrical Engineering,
      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 Mathematics, Master semester 2
      Section of Mathematics, Master semester 4
      Teachers : Gerstner Wulfram.
      Language : english
      Academic term : 2018-2019


    • 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 Electrical and Electronical Engineering, Master semester 2
      Section of Electrical and Electronical Engineering, Master semester 4
      Section of Life Sciences and Technologies, Master semester 2
      Section of Life Sciences and Technologies, Master semester 4
      Section of Mathematics, Master semester 2
      Section of Mathematics, Master semester 4
      Teachers : Gerstner Wulfram.
      Language : english
      Academic term : 2018-2019