Simitar: Simplified Searching of Statistically Significant Similarity Structure

This paper describes Simitar, a toolbox for studying the similarity structure of patterns of brain activation in different experimental conditions. We focus on supporting two types of analysis, namely, the calculation of local similarity matrices for all locations in the brain and the identification...

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Bibliographic Details
Published in2013 International Workshop on Pattern Recognition in Neuroimaging pp. 1 - 4
Main Authors Pereira, Francisco, Botvinick, Matthew
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Barium
Buildings
Correlation
Euclidean distance
Imaging
Neuroscience
Visualization
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Summary:This paper describes Simitar, a toolbox for studying the similarity structure of patterns of brain activation in different experimental conditions. We focus on supporting two types of analysis, namely, the calculation of local similarity matrices for all locations in the brain and the identification of locations where similarity has a desired structure, via an intuitive interface.
DOI:10.1109/PRNI.2013.10