CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 6-26 August 2017, Champalimaud Centre for the Unknown, Lisbon, Portugal http://www.cccn.pt We have extended the application deadline to 27 March 2017 (midnight, CET time). DIRECTORS • 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@research.fchampalimaud.org Faculty: 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 www.mackelab.org