PhD Program Computational and Theoretical Neuroscience


The Bernstein Center for Computational Neuroscience (BCCN) Göttingen hosts a graduate program in "Theoretical and Computational Neuroscience" (PTCN). This PhD program is part of the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB) and is conducted jointly by the University of Göttingen, the Max Planck Institute for Biophysical Chemistry, the Max Planck Institute for Dynamics and Self-Organization, the German Primate Center, and the European Neuroscience Institute Göttingen.

Understanding the computational capabilities of neural systems requires a unique mix of theoretical, computational and biological skills that were in the past distributed across different disciplines, mainly biology, physics, computer science, psychology, and medicine. Our PhD program is designed to bring these different fields together thus creating a new generation of scientists that are equally at home with the thoroughly quantitative and mathematical mode of thought of the exact sciences and with the complexities of real nervous systems.

To cover the interdisciplinary nature of this program we welcome national and international students with backgrounds in physics, chemistry, biology, psychology, computer science, medicine, and mathematics. Teaching language is English. After an initial period of course work students complete a PhD by research in their chosen field. The computational neuroscience community in Göttingen is offering innovative courses in Theoretical and Computational Neuroscience. These include lectures in neural networks and theoretical neuroscience, seminars and practical courses on topics in theoretical neuroscience, and an annual advanced summer school in computational neuroscience. PTCN extends these offers and shapes them into a comprehensive and interdisciplinary curriculum.

For further information please visit the PTCN website.


The members of the BCCN Göttingen offer a varity of lectures and seminars at the BSc and MSc levels for the following programs: Physics, Mathematics, Applied Computer Science, Applied Data Science, Neuroscience, Psychology and Material Science. For more information on the differnt courses please visit the catalogue of modules .

  • Lecture: Theoretical and Computational Neuroscience: Collective dynamics of biological neural Networks I
    BSc/MSc Physics; MSc Mathematic, MSc Applied Computer Science
    Wolf, Wibral, Gollisch

  • Internship: Forschungshauptpraktikum Biophysik und Physik komplexer Systeme / Advanced Research Lab Course in Biophysics and Physics of Complex Systems
    Msc Physics
    Enderlein, Geisel, Kree, Müller, Parlitz, Schmidt, Timme, Wolf, Wörgötter, Zippelius

  • Exercise: Practical course on Computer Vision and Robotics
    BSc/MSc Physics
    Wörgötter

  • Lecture with exercise: Mathematical Data Science, BSc Applied Data Science
    Deep Learning
    MSc Mathematics, BSc/MSc Applied Computer Science, MSc Physics, BSc
    Ecker

  • Seminar: Spezielle Probleme der Biophysik, Fluoreszensspektroskopie und –mikroskopie
    MSc Physics, MSc Mathematics
    Enderlein, Gregor

  • Lecture: Theoretical Biophysics
    BSc/MSc Physics, MSc Matter to Life, MSc Material Science
    Enderlein, Neef

  • Lecture: Neurosciences
    MSc Neuroscience
    Enderlein, Gollisch, Fiala, Moser, Treue

  • Exercise: Neurosciences
    MSc Neuroscience
    Enderlein, Schacht, Treue

  • Exercise: Neurobiology 1
    MSc Developmental, Neural and Behavioral Biology
    Gollisch, Göpert, Fiala, Löwel

  • Lecture: Neurobiology 1
    MSc Developmental, Neural and Behavioral Biology; MSc Microbiology and Biochemistry
    Göpert, Fiala, Löwel

  • Lecture: Einfuehrung in die Magnetresonanz-Tomografie
    Advanced students in Chemistry, Physics, Biology, Medicine
    Frahm

  • Seminar: From vision to action
    MSc Psychology
    Gail, Scherberger, Gail

  • Lecture: From vision to action
    MSc Psychology, MSc Microbiology and Biochemistry, MSc Developmental, Neural and Behavioral Biology
    Gail, Scherberger, Gail

  • Seminar: Seminar zur statistischen Mechanik komplexer Systeme
    MSc Physics, MSc Mathematics, MSc Material Science
    Kree

  • Lecture: Hard problems in soft matter: Theory and numerics of active colloids
    MSc Physics, MSc Mathematics, MSc Material Science
    Kree

  • Exercise: Hard problems in soft matter: Theory and numerics of active colloids
    MSc Physics, MSc Mathematics, MSc Material Science
    Kree

  • Lecture: Development and plasticity of the nervous system
    MSc Developmental, Neural and Behavioral Biology, MSc Microbiology and Biochemistry, MSc Applied Computer Sciences
    Löwel

  • Seminar: Nonlinear dynamics, time series analysis, and machine learning
    BSc/ MSc Physics
    Parlitz

  • Lecture: Kognitionspsychologie
    BSc Biology, BSc Molecular Medicine, BSc Biochemistry, BSc Applied Computer Science, MSc Applied Computer Science
    Schacht

  • Intern: Biokognition
    BSc Biology
    Schacht

  • Seminar: Vertiefung Affektive Neurowissenschaften, 1 und 2
    MSc Psychology
    Schacht

  • Lecture: Biologische Psychologie I
    BSc Psychology, BSc Biology, BSc/MSc Applied Computer Sciences, BSc Biochemistry, BSc Biological Diversity and Ecology, MSc Physics
    Gail, Treue

  • Lecture: Biologische Psychologie II/ Kognitive Neurowissenschaften
    BSc Psychology, BSc Biology, BSc/MSc Applied Computer Sciences, BSc Biochemistry, BSc Biological Diversity and Ecology, MSc Physics
    Gail, Treue

  • Lecture: Biologische Psychologie: Neurowissenschaften
    BSc Psychology, BSc Biology, Biochemistry, BSc/MSc Applied Computer Science
    Gail, Treue

  • Lecture: Advanced Computational Neuroscience I
    MSc Physics, MSc Mathematics
    Wörgötter

  • Seminar: Proseminar Computational Neuroscience/Neuroinformatik
    BSc/MSc Physics, BSc/MSc Applied Computer Science
    Wörgötter

  • Seminar: Seminar Computational Neuroscience/Neuroinformatik
    MSc Physics, MSc Applied Computer Science, MSc Mathematics
    Wörgötter

  • Lecture: Introduction to Computer Vision and Robotics
    BSc/MSc Physics
    Wörgötter

  • Lecture: Theoretical and Computational Neuroscience: Collective dynamics of biological neural Networks II
    BSc/MSc Physics; MSc Mathematic, MSc Applied Computer Science
    Priesemann, Wolf

  • Lecture: Computational Neuroscience: Basics
    BSc /MSc Physics, BSc/MSc Mathematics, BSc/MSc Applied Computer Science
    Wörgötter

  • Seminar: Spezielle Probleme der Biophysik, Fluoreszensspektroskopie und –mikroskopie
    MSc Physics, MSc Mathematics
    Enderlein, Gregor

  • Lecture: Einfuehrung in die Magnetresonanz-Tomografie
    Advanced students in Chemistry, Physics, Biology, Medicine
    Frahm

  • Seminar: Proseminar Computational Neuroscience/Neuroinformatik
    BSc/MSc Physics, BSc/MSc Applied Computer Science
    Wörgötter

  • Seminar: Seminar Computational Neuroscience/Neuroinformatik
    MSc Physics, MSc Applied Computer Science, MSc Mathematics
    Wörgötter