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Poster of the Advanced Course in Computational Neuroscience 2005

An IBRO/FENS.

August 1 - 26, 2005

Arcachon, France

The course has two complementary parts. Mornings are 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 are given practical training in the art and practice of neural modeling, largely through the medium of their individual choice of model systems.

The first week of the course introduces students to essential neurobiological concepts and to the most important techniques in modelling single cells, networks and neural systems. Students learn how to solve their research problems using software packages such as GENESIS, MATLAB, NEST, NEURON, XPP, etc. During the following three weeks the lectures cover specific brain areas and functions. Topics range from modelling single cells and subcellular processes through the simulation of simple circuits, large neuronal networks and system level models of the brain. The course ends with project presentations by the students.

The Advanced Course in Computational Neuroscience is designed for advanced graduate students and postdoctoral fellows in 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 as well as some computer experience. Students of any nationality can apply.

A maximum of 30 students will be accepted. There will be a fee of EUR 500,- per student covering costs for lodging, meals and other course expenses. Depending on funding, there will be a limited number of tuition fee waivers and travel stipends available for students who need financial help for attending the course. We specifically encourage applications from researchers who work in the developing world. We have received IBRO funding to provide full travel and fee support for 4-5 students from developing countries. These students will be selected following the normal submission procedure.

Applications, including a description of the target project must be submitted electronically (see below) and should be accompanied by two letters of recommendation (also sent electronically). Applications will be assessed by a committee, with selection being based on the following criteria: the scientific quality of the candidate (CV) and of the project, the recommendation letters, and evidence that the course affords substantial benefit to the candidate's training.

More information and application forms can be obtained from: http://www.neuroinf.org/courses/EUCOURSE/EU05

Please apply electronically using a web browser.

Contact address:

APPLICATION DEADLINE: April 1st, 2005
DEADLINE FOR LETTERS OF RECOMMENDATION: April 1st, 2005

Applicants will be notified of the results of the selection procedures by end of April 2005.

INVITED FACULTY:

L Abbott (Brandeis University, USA)
A Aertsen (Freiburg University, Germany)
A Arieli (Weizmann Institute, Israel)
N Brunel (CNRS Paris, France)
P Dayan (University College London, UK)
E De Schutter (University of Antwerp, Belgium)
A Destexhe (CNRS Gif-sur-Yvette, France)
M Diesmann (Freiburg University, Germany)
Y Fregnac (CNRS Gif-sur-Yvette, France)
B Grothe (University of Munchen, Germany)
M Hines, (Yale University, USA)
H Kuntz (Hebrew University, Israel)
G Laurent (California Institute of Technology, USA)
G LeMasson (University of Bordeaux, France)
RR Llinas (New York University, USA)
R Malach (Weizmann Institute, Israel)
I Nelken (Hebrew University, Israel)
M Nicolelis, Duke University, USA
A Riehle (CNRS Marseille, France)
J Rinzel (New York University, USA)
A Roth (University College London, UK)
M Rudolph (CNRS Gif-sur-Yvette, France)
I Segev (Hebrew University, Israel)
T Tetzlaff (Freiburg University, Germany)
AM Thomson (University College London, UK)
AE Tobin (Emory University, USA)
E Vaadia (Hebrew University, Israel)
C vanVreeswijk (CNRS Paris, France)
L Zhaoping (University College London, UK)



Computational Neuroscience: