2015•Unpublished venueOpen access
Computational Neuroscience - Challenges and Implications for Brazilian Education
Raimundo José Macário Costa, Luı́s Alfredo Vidal de Carvalho, Emílio Sánchez Miguel, Renata Mousinho, Renato Cerceau, Lizete Pontes Macário Costa, Jorge Zavaleta, Laci Mary Barbosa Manhães, Sérgio Manuel Serra da Cruz
Open full text 0 citations
Abstract
Understanding the core function of the brain is one the major challenges of our times. In the areas of
neuroscience and education, several new studies try to correlate the learning difficulties faced by children
and youth with behavioral and social problems. This work aims to present the challenges and opportunities
of computational neuroscience research, with the aim of detecting people with learning disorders. We
present a line of investigation based on the key areas: neuroscience, cognitive sciences and computer
science, which considers young people between nine and eighteen years of age, with or without a learning
disorder. The adoption of neural networks reveals consistency in dealing with pattern recognition problems
and they are shown to be effective for early detection in patients with these disorders. We argue that
computational neuroscience can be used for identifying and analyzing young Brazilian people with several
cognitive disorders.