首页> Journal of medical signals and sensors> A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine.

A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine.

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第一作者： Sheyda,Bahrami

第一单位： Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.

作者： Sheyda,Bahrami ^[1] ; Mousa,Shamsi ^[1]

作者单位： Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran. ^[1]

关键词 FMRI classification non-parametric methods self-organizing map (SOM)support vector machine (SVM)

PMID 28840116

发布时间 2020-09-29

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Journal of medical signals and sensors

153-162页

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Journal of medical signals and sensors

153-162页

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A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine.

Journal of medical signals and sensors

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A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine.

Journal of medical signals and sensors

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Journal of medical signals and sensors

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