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Authors: Raimundo José Macário Costa 1 ; Luís Alfredo Vidal de Carvalho 2 ; Emilio Sánchez Miguel 3 ; Renata Mousinho 2 ; Renato Cerceau 4 ; Lizete Pontes Macário Costa 5 ; Jorge Zavaleta 2 ; Laci Mary Barbosa Manhães 2 and Sérgio Manuel Serra da Cruz 6

Affiliations: 1 Universidade Federal Rural do Rio de Janeiro - UFRRJ, Brazil ; 2 Universidade Federal do Rio de Janeiro – UFRJ, Brazil ; 3 Salamanca University (U.S.A.L), Spain ; 4 Universidade Federal do Rio de Janeiro – UFRJ and National Regulatory Agency for Private Health Insurance and Plans (ANS), Brazil ; 5 Rio de Janeiro State University (UERJ), Brazil ; 6 Universidade Federal Rural do Rio de Janeiro - UFRRJ, Programa de Educação Tutorial (PET-SI/UFRRJ) and Programa de Pós- Graduação em Modelagem Matemática e Computacional (PPGMMC/UFRRJ), Brazil

ISBN: 978-989-758-107-6

Keyword(s): Education, Neuroscience, Computer Science, Databases, Artificial Intelligence, Cognitive Science.

Related Ontology Subjects/Areas/Topics: Classroom Management ; Computer-Supported Education ; Information Technologies Supporting Learning ; Learning/Teaching Methodologies and Assessment ; Metrics and Performance Measurement ; Social Context and Learning Environments ; Standards and Interoperability ; Teacher Evaluation ; Ubiquitous Learning

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.

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Paper citation in several formats:
José Macário Costa, R.; Alfredo Vidal de Carvalho, L.; Sánchez Miguel, E.; Mousinho, R.; Cerceau, R.; Macário Costa, L.; Zavaleta, J.; Manhães, L. and Serra da Cruz, S. (2015). Computational Neuroscience - Challenges and Implications for Brazilian Education.In Proceedings of the 7th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-107-6, pages 436-441. DOI: 10.5220/0005481004360441

@conference{csedu15,
author={Raimundo José Macário Costa. and Luís Alfredo Vidal de Carvalho. and Emilio Sánchez Miguel. and Renata Mousinho. and Renato Cerceau. and Lizete Pontes Macário Costa. and Jorge Zavaleta. and Laci Mary Barbosa Manhães. and Sérgio Manuel Serra da Cruz.},
title={Computational Neuroscience - Challenges and Implications for Brazilian Education},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2015},
pages={436-441},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005481004360441},
isbn={978-989-758-107-6},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Computational Neuroscience - Challenges and Implications for Brazilian Education
SN - 978-989-758-107-6
AU - José Macário Costa, R.
AU - Alfredo Vidal de Carvalho, L.
AU - Sánchez Miguel, E.
AU - Mousinho, R.
AU - Cerceau, R.
AU - Macário Costa, L.
AU - Zavaleta, J.
AU - Manhães, L.
AU - Serra da Cruz, S.
PY - 2015
SP - 436
EP - 441
DO - 10.5220/0005481004360441

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