[Comp-neuro] Cajal Course in Computational Neuroscience: Deadline March 27

Jakob Macke Jakob.Macke at caesar.de
Fri Mar 17 11:15:12 CET 2017

6-26 August 2017, Champalimaud Centre for the Unknown, Lisbon, Portugal


We have extended the application deadline to 27 March 2017 (midnight, CET time).

• Gilles Laurent (MPI Brain Research, Frankfurt, Germany)
• Jakob Macke (Research Center Caesar, an associate of the Max Planck Society, Bonn, Germany)
• Christian Machens (Champalimaud Centre for the Unknown, Portugal) 

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.  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. Stipends are available.

More information on the course website, http://www.ccn.pt

Apply here: http://www.fens.org/Training/CAJAL-programme/CAJAL-Courses-2017/CCCN2017/

Contact address:
Simone Zacarias,  simone.zacarias at research.fchampalimaud.org

Alberto Bernacchia    University of Cambridge, UK
Claudia Clopath    Imperial College London, UK
Anne Collins    Helen Wills Neuroscience Institute, UC Berkeley, USA
Sophie Denève    Institut d'Etudes de la Cognition (IEC), France
Rainer Engelken    Max Planck, Goettingen, Germany
David Fitzpatrick    Max-Planck Florida Institute for Neuroscience, USA
Julijana Gjorgjieva    Max Planck Institute for Brain Research, Germany
Pedro J. Gonçalves   Research Center Caesar, Associate of Max Planck Society, Germany
Richard Hahnloser    Institute of Neuroinformatics, ETH Zurich, Switzerland
Michael Häusser    Wolfson Institute for Biomedical Research, University College London, UK
Andreas Herz    Bernstein Center for Computational Neuroscience Munich, Germany
Matthias Kaschube    Frankfurt Institute for Advanced studies, Germany
Simon Laughlin    University of Cambridge, UK
Máté Lengyel  University of Cambridge, UK
Zhaoping Li    University College London, UK
Jennifer Linden    UCL Ear Institute, UK
Thomas Mrsic-Flogel    Sainsbury Wellcome Centre, University College London, UK
Joe Paton    Champalimaud Centre for the Unknown, Portugal
Astrid Prinz    Emory University, USA
Maneesh Sahani    Gatsby Computational Neuroscience Unit, UCL, UK
Thanos Siapas    Caltech, USA
Tatjana Tchumatchenko    Max Planck Institute for Brain Research, Germany
Andreas Tolias    Baylor College of Medicine, USA
Byron Yu    Carnegie Mellon University, USA

Jakob Macke
Max Planck Research Group Leader
Neural Systems Analysis
research center caesar

More information about the Comp-neuro mailing list