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August 11 – 31, 2019, Lisbon, Portugal

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Aug 11, 2019 08:00 AM to
Aug 31, 2019 05:00 PM


Champalimaud Centre for the Unknown, Lisbon, Portugal

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Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements.

This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning is devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations.

The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills. More information here.

A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. These students will be selected according to the normal submission procedure.

Applications are open here. Applications will be assessed by a committee, with selection being based on the following criteria: the scientific quality of the candidate (CV), evidence that the course will afford substantial benefit to the candidate (motivation letter), and the recommendation letters.


Course directors

  • Brent Doiron (University of Pittsburgh, USA)
  • Maria Geffen (University of Pennsylvania,USA)
  • Jakob Macke (Technical University of Munich, Germany)
  • Joe Paton (Champalimaud Research, Portugal)


Confirmed faculty

  • Matt Botvinick, Google Deepmind, UK
  • Claudia Clopath, Imperial College London, UK
  • Sophie Denève, Institut d'Etudes de la Cognition (IEC), France
  • Julijana Gjorgjieva, Max Planck Institute for Brain Research, Germany
  • Pedro J. Gonçalves, Research Center Caeser, an Associate of Max Planck Society, Bonn, Germany
  • Ann Hermundstadt, Janelia Research Campus, USA
  • Kate Jeffery, University College of London, UK
  • Brian Lau, Brain and Spine Institute, France
  • Gilles Laurent, Max Planck Institute for Brain Research, Germany
  • Máté Lengyel, University of Cambridge, UK
  • Jennifer Linden, UCL Ear Institute, UK
  • Christian Machens, Champalimaud Research, Portugal
  • Ken Miller, Columbia University, USA
  • Tony Movshon, New York University, USA
  • Mala Murthy, Princeton Neuroscience Institute, USA
    Maneesh Sahani, Gatsby Computational Neuroscience Unit, UCL, UK
  • Eero Simoncelli, New York University, USA
  • Tim Vogels, University of Oxford, UK



Apply here:

Applications deadline: 11 March 2019

Stipends are available



CAJAL Advanced Neuroscience Training Programme is funded by FENS, IBRO and The Gatsby Foundation.


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