The NEURON School 2020

About

Computational neuroscience is a rapidly expanding subject focused on understanding and modeling the brain while helping to design and interpret future experiments. 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. Further, since the School program focuses on the description of biologically realistic neurons, an important secondary goal of the School is to help students cross the traditional discipline boundaries that most are trained in, and serve as a bridge between experimental and theoretical neuroscientists.

Course leader

Dr. Paolo Enrico, University of Sassari - Italy Dr. Sergio Solinas, Institute of Neuroinformatics - 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.

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.

Fee info