{"title":"相似:统计显著相似结构的简化搜索","authors":"Francisco Pereira, M. Botvinick","doi":"10.1109/PRNI.2013.10","DOIUrl":null,"url":null,"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.","PeriodicalId":144007,"journal":{"name":"2013 International Workshop on Pattern Recognition in Neuroimaging","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Simitar: Simplified Searching of Statistically Significant Similarity Structure\",\"authors\":\"Francisco Pereira, M. Botvinick\",\"doi\":\"10.1109/PRNI.2013.10\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":144007,\"journal\":{\"name\":\"2013 International Workshop on Pattern Recognition in Neuroimaging\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Workshop on Pattern Recognition in Neuroimaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PRNI.2013.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Workshop on Pattern Recognition in Neuroimaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRNI.2013.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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 of locations where similarity has a desired structure, via an intuitive interface.
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