Mar 22, 2006
Advanced Course in Computational Neuroscience
August 7th – September 1st 2006, ARCACHON, FRANCE
The Advanced Course in Computational Neuroscience is for advanced graduate students and postdoctoral fellows who are interested in learning the essentials of the field.
We seek students of any nationality 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 as well as some computer experience.
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 modelling, 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 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.
Applications, including a description of the target project must be submitted electronically (see below) and should be accompanied by the names and email details of two referees who have agreed to furnish references. 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:
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