LASCON IV aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. These methods will be taught via a combination of theoretical lectures and hands-on tutorials with some of the most popular software used in computational neuroscience, like neuroConstruct, NEURON, XPPAUT, MATLAB and NEST.
Students will have to work on small research projects using the tools learned in the school, which they will present at the end of the school. These projects will be done by groups of two students.
The faculty is composed of researchers with large experience in computational neuroscience and the use of the tools and programs taught. They will be helped by tutors who will complement their work by accompanying students in their exercises and projects.
The school is open to applicants of different backgrounds. Computational neuroscience is an interdisciplinary subject, which historically has benefited considerably from the crosstalk between people with very different scientific origins: physics, mathematics, computer science, engineering, biology, medicine, psychology, cognitive science, philosophy, etc. However, applicants should have in mind that only 30 students will be selected, and they should demonstrate in their CVs that they satisfy the minimum requirements for being selected.
Regarding the geographical origin, most of the selected students will be from Latin American countries but, under exceptional circumstances, students from other areas of the world may be accepted as well.