The NEURON School 2019

Computational neuroscience has emerged as a crucially important discipline for furthering our understanding of brain function, and is now one of the most dynamic and rapidly developing fields in scientific and technological research. However, very few institutions have a “computational neuroscience” program and therefore, getting into this field may prove difficult, especially for students outside the fields of theoretical neuroscience. The NEURON School was started in 2018 with the goal to fill this gap, providing students with a solid introduction to neuronal modeling teaching the central ideas, methods, and practices of computational neuroscience through a combination of lectures and hands-on work.

Course leader

Dr. Paolo Enrico Department of Biomedical Sciences, University of Sassari - Italy Dr. Sergio Solinas Institute of Neuroinformatics, University of Zurich and ETH Zurich - Switzerland

Target group

The program is appropriate for full graduate and advanced undergraduate students in a variety of fields from biology, neurobiology, and psychology, to physics, medicine, engineering, and mathematics. Students are expected to have a good background in their discipline, interest in neuroscience, and some knowledge (even basic) of computer programming (Python, C, C ++).

Course aim

The school aims to provide students with a solid introduction to neuronal modeling, teaching the central ideas, methods, and practices of computational neuroscience, through a combination of lectures and hands-on work. During the course’s mornings, distinguished international faculty will deliver lectures on selected topics of experimental and computational neuroscience. In the afternoons, students will learn how to use the NEURON simulator to create neural models working under the supervision of expert tutors and faculty.