The objective of LASCON is to foster systematic as well as informal interactions between faculty members and students. By doing so the organizers expect to promote the field of computational neuroscience in Latin America and stimulate the creation of a culture of using computational modeling methods to approach neuroscience problems among Latin American researchers and students. To do so it is important to put emphasis on the basic theoretical and computational tools used by modern neuroscience to model neurons and neural networks.
The rationale behind LASCON’s program is to cover basic and fundamental topics of computational neuroscience to give students a background solid enough for them to undertake more advanced and specialized studies. The set of lectures is designed to start with single neuron modeling approaches, ranging from biophysically detailed to simplified, and then build up from these to models for synaptic circuits, networks and systems. The tutorials also follow this sequence and at each stage provide a practical introduction to some software widely used as research tools to simulate and investigate the corresponding neural structures.
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.
Regarding the geographical origin, most of the selected students are from Latin American countries but students from other areas of the world may be accepted as well.