[Comp-neuro] Cajal Course in Computational Neuroscience 2019

Macke, Jakob macke at tum.de
Tue Feb 26 20:39:23 CET 2019


CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE
11 August - 31 August 2019, Champalimaud Centre for the Unknown<http://www.fchampalimaud.org/en/the-foundation/champalimaud-centre-unknown/>, Portugal

http://www.cccn.pt

Applications deadline: 11 March 2019

Course directors:
Brent Doiron<https://www.mathematics.pitt.edu/people/brent-doiron> (University of Pittsburgh, USA)
Maria Geffen<https://www.med.upenn.edu/apps/faculty/index.php/g329/p8404062> (University of Pennsylvania,USA)
Jako<http://www.mackelab.org/people/>b Macke<http://www.cne.ei.tum.de> (Technical University of Munich, Germany)
Joe Paton<http://neuro.fchampalimaud.org/en/person/115/> (Champalimaud Research, Portugal)

Confirmed faculty:
Matt Botvinick<https://www.google.com/url?q=https%3A%2F%2Fdeepmind.com%2F&sa=D&sntz=1&usg=AFQjCNEUQhVToFcPN1cb0CAg1FLELaQSMA>, Google Deepmind, UK
Claudia Clopath<http://www.google.com/url?q=http%3A%2F%2Fwww.bg.ic.ac.uk%2Fresearch%2Fc.clopath%2F&sa=D&sntz=1&usg=AFQjCNFcqgAMEGMljryPHvBVwZuJVmrUwg>, Imperial College London, UK
Sophie Denèv<https://www.google.com/url?q=https%3A%2F%2Flnc2.dec.ens.fr%2Fen%2Fmember%2F628%2Fsophie-deneve&sa=D&sntz=1&usg=AFQjCNHC0vR0q0wzF-Z0LH71zL-QG0758Q>e, Institut d'Etudes de la Cognition (IEC), France
Julijana Gjorgjieva<http://www.google.com/url?q=http%3A%2F%2Fbrain.mpg.de%2Fresearch%2Fcomputation-in-neural-circuits-group.html&sa=D&sntz=1&usg=AFQjCNH1PDsVc5onDZvjDVJ4dTpsxPxVyQ>, Max Planck Institute for Brain Research, Germany
Pedro J. Gonçalves<http://www.google.com/url?q=http%3A%2F%2Fppjgoncalves.github.io%2F&sa=D&sntz=1&usg=AFQjCNEwSgVsg1Mg5IzCdR3VhSRPsxaKwg>, Research Center Caeser, an Associate of Max Planck Society, Bonn, Germany
Ann Hermundstadt<https://www.google.com/url?q=https%3A%2F%2Fwww.janelia.org%2Flab%2Fhermundstad-lab&sa=D&sntz=1&usg=AFQjCNFw9W1L_MMAaaMP0yp_WEUyRwtSyg>, Janelia Research Campus, USA
Kate Jeffery<http://www.google.com/url?q=http%3A%2F%2Fwww.ucl.ac.uk%2Fjefferylab&sa=D&sntz=1&usg=AFQjCNHh7KLeGtHHSh1q7OxEc6UHLDalGQ>, University College of London, UK
Brian Lau<https://www.google.com/url?q=https%3A%2F%2Ficm-institute.org%2Fen%2Fmember%2F%3Fuser%3D1185&sa=D&sntz=1&usg=AFQjCNFSEq9DFHElI_x0MpeoaOCBDrungQ>, Brain and Spine Institute, France
Gilles Laurent<http://www.google.com/url?q=http%3A%2F%2Fbrain.mpg.de%2Fresearch%2Flaurent-department%2Fdirector.html&sa=D&sntz=1&usg=AFQjCNE8QorWHRgS_nEUusXnlqwCRMPlbg>, Max Planck Institute for Brain Research, Germany
Máté Lengyel<http://www.google.com/url?q=http%3A%2F%2Fwww3.eng.cam.ac.uk%2F~ml468%2F&sa=D&sntz=1&usg=AFQjCNHeGo3O77eDiFunqz6LUsa-OyWTTw>, University of Cambridge, UK
Jennifer Linden<http://www.google.com/url?q=http%3A%2F%2Fwww.ucl.ac.uk%2Fear%2Fresearch%2Fprofiles%2Flinden&sa=D&sntz=1&usg=AFQjCNHRv3_eex8sEz0bOxUdj_XiHhpYNQ>, UCL Ear Institute, UK
Christian Machens<http://www.google.com/url?q=http%3A%2F%2Fmachenslab.org%2F&sa=D&sntz=1&usg=AFQjCNExyZecU0Iu0IcqPf1kClEsJZLPQQ>, Champalimaud Research, Portugal
Ken Miller<https://www.google.com/url?q=https%3A%2F%2Fctn.zuckermaninstitute.columbia.edu%2FKen&sa=D&sntz=1&usg=AFQjCNEuRAAKoelL-S9KxQD6EuV21vOqWA>, Columbia University, USA
Tony Movshon<http://www.google.com/url?q=http%3A%2F%2Fwww.cns.nyu.edu%2Fcorefaculty%2FMovshon.php&sa=D&sntz=1&usg=AFQjCNGbkx2EZZa7ljMPIChz0NK8OHDAxg>, New York University, USA
Mala Murthy<http://www.google.com/url?q=http%3A%2F%2Fmala-murthy.squarespace.com%2F&sa=D&sntz=1&usg=AFQjCNHl8dP8-pAWchxPUXhCdfZHu-65MQ>, Princeton Neuroscience Institute, USA
Maneesh Sahani<http://www.google.com/url?q=http%3A%2F%2Fwww.gatsby.ucl.ac.uk%2F~maneesh%2F&sa=D&sntz=1&usg=AFQjCNFUVZc1oEaUkd4XbBJkGd7pxTXsMQ>, Gatsby Computational Neuroscience Unit, UCL, UK
Eero Simoncelli<http://www.google.com/url?q=http%3A%2F%2Fwww.cns.nyu.edu%2F~eero%2F&sa=D&sntz=1&usg=AFQjCNGBcuV3QmoDgeOcvC-R7ZB8iTa2JA>, New York University, USA
Tim Vogels<https://www.google.com/url?q=https%3A%2F%2Fwww.dpag.ox.ac.uk%2Fresearch%2Fvogels-group&sa=D&sntz=1&usg=AFQjCNGMB2_z1xUf1k7Ss213C0N9dFR1rg>, University of Oxford, UK

About the course:
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.

Apply here: www.fens.org/Training/CAJAL-programme/CAJAL-courses-2019/CCCN2019/<http://www.fens.org/Training/CAJAL-programme/CAJAL-courses-2019/CCCN2019/>

Applications deadline: 11 March 2019

Stipends are available.

CAJAL Advanced Neuroscience Training Programme is funded by FENS<http://www.fens.org/>, IBRO<http://ibro.info/> and The Gatsby Foundation<http://www.gatsby.org.uk/>. For more information on the CAJAL programme: www.cajal-training.org<http://www.cajal-training.org/>
Contact address:
Simone Zacarias,  simone.zacarias at research.fchampalimaud.org<mailto:simone.zacarias at research.fchampalimaud.org>

—
Prof. Dr. rer. nat. Jakob Macke

Technical University of Munich
Department of Electrical and Computer Engineering
Professorship for Computational Neuroengineering
macke at tum.de<mailto:macke at tum.de>
www.cne.ei.tum.de<http://www.cne.ei.tum.de>
+49 89 289 26902

Office:
Alexandra Petelski
Alexandra.Petelski at tum.de<mailto:Alexandra.Petelski at tum.de>
Tel.: +49 (0)89 - 289 26900
Fax: +49 (0)89 - 289 26901







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