Advanced Course in Computational Neuroscience started
The Advanced Course in Computational Neuroscience is aimed at advanced graduate students and postdoctoral fellows who are interested in learning the essentials of the field.
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 will end on August 27 with project presentations by the students.