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Authors: Anderson Campelo 1 ; Valcir Farias 1 ; Marcus Rocha 1 ; Heliton Tavares 1 and Antonio Pereira 2

Affiliations: 1 Universidade Federal do Pará, Brazil ; 2 Univesidade Federal do Rio Grande do Norte, Brazil

ISBN: 978-989-8425-03-4

Abstract: In the present work, we used Kohonen’s self-organizing map algorithm (SOM) to analyze functional magnetic resonance imaging (fMRI) data. As a first step to increase computational efficiency in data handling by the SOM algorithm, we performed an entropy analysis on the input dataset. The resulting map allowed us to define the pattern of active voxels correlated with auditory stimulation in the data matrix. The validity of the algorithm was tested using both real and simulated data.

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Paper citation in several formats:
Campelo A.; Farias V.; Rocha M.; Tavares H.; Pereira A. and (2010). Application of Self-organizing Maps in Functional Magnetic Resonance Imaging.In Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010) ISBN 978-989-8425-03-4, pages 72-80. DOI: 10.5220/0002951300720080

@conference{workshop anniip10,
author={Anderson Campelo and Valcir Farias and Marcus Rocha and Heliton Tavares and Antonio Pereira},
title={Application of Self-organizing Maps in Functional Magnetic Resonance Imaging},
booktitle={Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010)},
year={2010},
pages={72-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002951300720080},
isbn={978-989-8425-03-4},
}

TY - CONF

JO - Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010)
TI - Application of Self-organizing Maps in Functional Magnetic Resonance Imaging
SN - 978-989-8425-03-4
AU - Campelo, A.
AU - Farias, V.
AU - Rocha, M.
AU - Tavares, H.
AU - Pereira, A.
PY - 2010
SP - 72
EP - 80
DO - 10.5220/0002951300720080

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