Julien Vitay

Julien Vitay

Researcher in Computational Neuroscience and Artificial Intelligence

TU Chemnitz

I am researcher and lecturer at the TU Chemnitz, in the lab of Artificial Intelligence of the Department of Computer Science.

I was previously postdoc in the Psychology Department of the University of Münster (Germany), under the supervision of Prof. Dr. Fred Hamker and a PhD student at Inria Nancy (France), in the Cortex lab headed by Dr. Frédéric Alexandre.

My research interests focus on computational neuroscience (basal ganglia, hippocampus, dopaminergic system) and neuro-informatics (neuro-simulator ANNarchy). I am also interested in machine learning, especially the recent advances in deep reinforcement learning.


  • Computational Neuroscience
  • Artificial Intelligence
  • Deep Reinforcement Learning
  • Parallel Computing


  • Habilitation in Computer Science, 2017

    TU Chemnitz

  • PhD in Computer Science, 2006

    Université Henri-Poincaré Nancy-I

  • Electrical Engineering degree, 2002

    Ecole Supérieure d'Electricité (Supélec)

  • MSc. Microelectronics, 2002

    Université Rennes-I


Academic positions


Researcher / Lecturer

TU Chemnitz

Mar 2011 – Present Chemnitz (Germany)

Tenured position in the lab of Artificial Intelligence, Department of Computer Science.

Responsabilities include:

  • Teaching: Machine Learning, Computer Vision, Introduction to AI, Proseminar.
  • Research: computational neuroscience, machine learning.
  • Admin: coordination with SEKO, Erasmus+ coordinator.


University of Münster

Jul 2006 – Feb 2011 Münster (Germany)

Postdoc at the Institute for Psychology, Westfälische Wilhelms-Universität Münster, lab of Markus Lappe, supervisor Fred Hamker.

Research topics: Basal Ganglia modeling, Reinforcement learning.


PhD student

Inria Lorraine and Université Henri-Poincaré Nancy-I

Oct 2002 – Jun 2006 Nancy (France)

PhD student at the University Henri-Poincaré Nancy-I and Inria Lorraine (LORIA), supervisors: Frédéric Alexandre and Nicolas Rougier.

Thesis: Emergence of sensorimotor functions on a numerical distributed neural substrate.

Teaching assistant at the University Henri-Poincaré Nancy-I and ESIAL engineering school (Java, Computer architecture, Project management, Artificial Intelligence).


Courses taught at the TU Chemnitz

  • Neurocomputing (responsible)


  • Deep Reinforcement Learning (responsible)


  • Introduction to AI (exercises)


  • Proseminar AI (responsible)


Previous courses

  • Machine Learning (responsible until 2019)


  • Computer Vision (responsible until 2019)