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, by pursuing a project of their choosing under the close supervision of expert tutors.

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. The course ends with project presentations by the students.

The course is designed for advanced 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 as well as some computer experience. Students of any nationality can apply.

A maximum of 30 students will be accepted.

Further information regarding applications, program, fees, scholarships and travel stipends, awards, deadlines, registration, venue, etc. on the official course website.

Local Organizers:

Jochen Triesch, BFNT und FIAS Frankfurt
Hermann Cuntz, BPCN 2013, FIAS und ESI Frankfurt