Title :
Simitar: Simplified Searching of Statistically Significant Similarity Structure
Author :
Pereira, Fernando ; Botvinick, Matthew
Author_Institution :
Corp. Technol., Imaging & Comput. Vision, Siemens Corp., Princeton, NJ, USA
Abstract :
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.
Keywords :
biology computing; brain; pattern matching; MATLAB/Octave toolbox; Simitar; brain activation patterns; intuitive interface; local similarity matrices; location identification; statistically significant similarity structure; toolbox; Barium; Buildings; Correlation; Euclidean distance; Imaging; Neuroscience; Visualization;
Conference_Titel :
Pattern Recognition in Neuroimaging (PRNI), 2013 International Workshop on
Conference_Location :
Philadelphia, PA
DOI :
10.1109/PRNI.2013.10
