文件名称：matlab精度检验代码-2017_RetrievalPractice:检索实践项目代码
文件大小：172.92MB
文件格式：ZIP
更新时间：2024-06-10 18:50:15
系统开源
matlab精度检验代码检索练习 该存储库包含检索练习项目的核心脚本。 摘要和要求： This repository contains MATLAB scripts needed to produce key results and supplementary materials. They have been tested using MATLAB 2016a. This code requires data available in ExampleData folder. To run the scripts, add folders mentioned in Dependencies to Matlab. 测试环境： MATLAB Version: 9.0.0.341360 (R2016a) Operating System: Microsoft Windows 10 Home Version 10.0 & Linux ln01 2.6.32-431.el6.x86_64 #1 SMP Fri Nov 22 03:15:09 UTC 2013 x86_64 x86_64 x86_
【文件预览】：
2017_RetrievalPractice-master
----Network()
--------getNETmatrix.m(2KB)
--------gPPI_mask_RR_config.m(2KB)
--------gPPI_mask_RR.m(7KB)
--------README(173B)
----ExampleData()
--------anatomy.nii.gz(8.85MB)
--------MS_03_taskdesign.m(866B)
--------MS_05.nii.gz(20.11MB)
--------MS_02_taskdesign_singletrial.m(3KB)
--------MS_06_taskdesign.m(866B)
--------MS_03.nii.gz(20.07MB)
--------MS_06_taskdesign_singletrial.m(3KB)
--------MS_07_taskdesign_singletrial.m(3KB)
--------MS_06.nii.gz(20.09MB)
--------MS_01.nii.gz(20.1MB)
--------MS_08_taskdesign.m(866B)
--------MS_04_taskdesign.m(866B)
--------MS_04.nii.gz(20.15MB)
--------MS_03_taskdesign_singletrial.m(3KB)
--------MS_01_taskdesign.m(866B)
--------MS_02.nii.gz(20.09MB)
--------README(75B)
--------MS_08_taskdesign_singletrial.m(3KB)
--------MS_05_taskdesign_singletrial.m(3KB)
--------MS_04_taskdesign_singletrial.m(3KB)
--------MS_05_taskdesign.m(866B)
--------MS_07_taskdesign.m(866B)
--------MS_08.nii.gz(20.13MB)
--------MS_07.nii.gz(20.13MB)
--------MS_02_taskdesign.m(865B)
--------MS_01_taskdesign_singletrial.m(3KB)
----Mainfunctions()
--------individualstats_singletrial.m(15KB)
--------preprocessfmri.m(16KB)
--------README(280B)
--------individualstats_config_RR.m(4KB)
--------individualstats_singletrial_config_RR.m(4KB)
--------individualstats.m(16KB)
--------preprocessfmri_config_RR.m(707B)
----Prediction()
--------selectedFeatures_thr001.mat(390B)
--------RR_NETdata.mat(2.47MB)
--------predict_net_accumulated_asym_permutation.m(2KB)
--------predict_net_accumulated_asym.m(2KB)
--------README(362B)
----ROIs()
--------roi13_l_LPC.nii(3.44MB)
--------roi11_ATL.nii(3.44MB)
--------roi02_l_vlPFC.nii(3.44MB)
--------roi04_orbIFG.nii(3.44MB)
--------roi14_PrC_RSC.nii(3.44MB)
--------roi05_dACC_dmPFC.nii(3.44MB)
--------vbm_grey_mask.nii(1.72MB)
--------mask_MTL.nii(3.44MB)
--------roi01_r_vlPFC.nii(3.44MB)
--------roi09_l_MTL.nii(3.44MB)
--------roi10_l_aMTG.nii(3.44MB)
--------roi06_vmPFC.nii(3.44MB)
--------README(220B)
--------roi08_r_MTL.nii(3.44MB)
--------roi07_r_SFG.nii(3.44MB)
--------roi15_PCC.nii(3.44MB)
--------roi12_r_LPC.nii(3.44MB)
--------memory_retrieval_pFgA_z_FDR_0.01.nii(6.89MB)
--------wholemask_memory_retrieval.nii(3.44MB)
--------mask_PFC.nii(3.44MB)
--------mask_PPC.nii(3.44MB)
--------roi03_l_dlPFC.nii(3.44MB)
----RR_database.mat(2KB)
----README.md(2KB)
----RSA()
--------RSAfidelity.m(854B)
--------scsnl_searchlight_qin.m(4KB)
--------RSA_data()
--------README(56B)
--------RSAwithNeuorosythn.m(894B)
--------RSA_singletrial.m(1KB)