DocumentCode
634486
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
fYear
2013
fDate
22-24 June 2013
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition in Neuroimaging (PRNI), 2013 International Workshop on
Conference_Location
Philadelphia, PA
Type
conf
DOI
10.1109/PRNI.2013.10
Filename
6603542
Link To Document