Simitar: Simplified Searching of Statistically Significant Similarity Structure

Francisco Pereira, M. Botvinick
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引用次数: 3

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.
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相似:统计显著相似结构的简化搜索
本文介绍了用于研究不同实验条件下脑激活模式相似性结构的工具箱similar。我们专注于支持两种类型的分析,即计算大脑中所有位置的局部相似性矩阵,以及通过直观的界面识别相似性具有所需结构的位置。
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