[Comp-neuro] Cajal Course in Computational Neuroscience -- Deadline April 2
Jakob.Macke at caesar.de
Tue Mar 20 12:38:46 CET 2018
final reminder and line-up for the Cajal Computational Neuroscience Course in Lisbon this summer.
We extended the deadline to April 2, so there is still time to apply!
CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE
12 August - 1 September 2018, Champalimaud Centre for the Unknown, Lisbon, Portugal
Applications deadline: 2 April 2018 (midnight, CET time)
• Joe Paton (Champalimaud Centre for the Unknown, Portugal)
• Jakob Macke (TU Darmstadt & Research Center Caesar 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.cccn.pt
Apply here: http://www.fens.org/Training/CAJAL-programme/CAJAL-courses-2018/CCCN-2018/Application-Form/
Simone Zacarias, simone.zacarias at research.fchampalimaud.org
Matthias Bethge, University of Tübingen
Kevin Briggman, Research Center Caesar, Bonn, Germany
Megan Carey, Champalimaud Centre for the Unknown, Portugal
Claudia Clopath, Imperial College London, UK
Sophie Deneve, ENS Paris, France
Rainer Engelken, Columbia University, US
Julijana Gjorgjieva, Max Planck Institute for Brain Research, Germany
Pedro Goncalves, Research Center Caesar, Bonn, Germany
Michael Häusser, Wolfson Institute for Biomedical Research, University College London, UK
Andreas Herz, Bernstein Center for Computational Neuroscience Munich, Germany
Simon Laughlin, University of Cambridge, UK
Gilles Laurent, Max Planck Institute for Brain Research, Germany
Máté Lengyel, University of Cambridge, UK
Jennifer Linden, UCL Ear Institute, UK
Elliot Ludvig, Warwick University, UK
Anthony Movshon, New York University, USA
Maneesh Sahani, Gatsby Computational Neuroscience Unit, UCL, UK
Cristina Savin, New York University, USA
Jeffrey Taube, Dartmouth College, USA
Eero Simoncelli, New York University, USA
Tim Vogels, Oxford University, UK
Byron Yu, Carnegie Mellon University, USA
More information about the Comp-neuro