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Cajal course in computational neuroscience

When: 7-27 August 2016

Where: Champalimaud Centre for the Unknown, Lisbon, Portugal (+ pre-school 2-5 August 2016)


Applications deadline: 28 March 2016

* Gilles Laurent (Max Plank Institute for Brain Research, Germany)
* Máté Lengyel (University of Cambridge, UK)
* Christian Machens (Champalimaud Neuroscience Programme, Portugal)

This three-week school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning will be 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 will 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, 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. An optional four-day pre-school in mathematics and programming is available to students who want to catch up on or fine-tune their math and programming skills.

Essential details:
* Course size: 24 students maximum
* Fee (which covers tuition, lodging, and meals): 2500 EUR (+ 300 EUR for optional pre-school)
* Scholarships and travel stipends are available.
* Application deadline: 28 March 2015
* Notification of results: April 2015

Information and application:

Contact address:
Tânia Li Chen <tania.chen@neuro.fchampalimaud.org>

* Alberto Bernacchia (University of Cambridge, UK)
* Matthias Bethge (Centre for Integrative Neuroscience, Germany)
* Dmitri (Mitya) Chklovskii (Simons Center for Data Analysis, USA)
* Claudia Clopath (Imperial College London, UK)
* Peter Dayan (Gatsby Computational Neuroscience, UCL, UK)
* Sophie Denève (Institut d'Etudes de la Cognition (IEC), France)
* Alain Destexhe (Centre National de la Recherche Scientifique (CNRS), France)
* David Fitzpatrick (Max Planck Florida Institute for Neuroscience, USA)
* Michael Hausser (Wolfson Institute for Biomedical Research, UCL, UK)
* Moritz Helmstaedter (Max Planck Institute for Brain Research, Germany)
* Guillaume Hennequin (University of Cambridge, UK)
* Karel Je┼żek (Charles University, Czech Republic)
* Matthias Kaschube (Frankfurt Institute for Advanced Studies, Germany)
* Gilles Laurent (MPI Brain Research, Germany)
* Peter Latham (Gatsby Computational Neuroscience, UCL, UK)
* Simon Laughlin (University of Cambridge, UK)
* Máté Lengyel (University of Cambridge, UK)
* Zhaoping Li (University College London, UK)
* Jennifer Linden (Ear Institute, UCL, UK)
* Christian Machens (Champalimaud Neuroscience Programme, Portugal)
* Jakob Macke (Center of Advanced European Studies and Research, Germany)
* Tom Mrsic-Flogel (University of Basel, Switzerland)
* Yael Niv (Princeton Neuroscience Institute, USA)
* Maneesh Sahani (Gatsby Computational Neuroscience, UCL, UK)
* Andreas Tolias (Baylor College of Medicine, USA)
* Alessandro Treves (International School for Advanced Studies (SISSA), Italy)
* Daniel Wolpert (University of Cambridge, UK)

Posted on 24/02/2016

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