Upload parcel division vector and explainable variance/noise ceiling for each subjects in Algonaut 2025 (#4)

- Upload parcel division vector and explainable variance/noise ceiling for each subjects in Algonaut 2025 (a47aee65c69593a7511497fd07696bcd5a110000)


Co-authored-by: Jiaxin (Cindy) Tu <cindyhfls@users.noreply.huggingface.co>

explainable_variance/ExplainableVariance_sub-01.txt

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explainable_variance/README.md

@@ -0,0 +1,12 @@
+{\rtf1\ansi\ansicpg1252\cocoartf2638
+\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+{\*\expandedcolortbl;;}
+\paperw11900\paperh16840\margl1440\margr1440\vieww9640\viewh8400\viewkind0
+\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
+
+\f0\fs24 \cf0 Explainable Variance/Noise Ceiling using concatenated Movie10 repeats in each subject calculated by\
+1) explainable_variance() function from https://github.com/gallantlab/voxelwise_tutorials/blob/main/voxelwise_tutorials/utils.py\
+2) simple Pearson\'92s correlation between repeated presentations\
+\
+You can use this to normalize your encoding model performance to estimate how much unexplained variance at each parcel remains compared to the noise ceiling.}

parcel_network_divisions/README.md

@@ -0,0 +1,15 @@
+{\rtf1\ansi\ansicpg1252\cocoartf2638
+\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+{\*\expandedcolortbl;;}
+\paperw11900\paperh16840\margl1440\margr1440\vieww14820\viewh8400\viewkind0
+\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
+
+\f0\fs24 \cf0 Schaefer 1000 parcels can be parsed into the 7 networks (Yeo 2011)\
+\
+#Schaefer_1000Parcel_7Networks_order_Yeo7.csv is a vector of 0/1/2/3/4/5/6/7 for unassigned/visual/somatomotor/dorsal attention/salience_ventral attention/limbic/control networks from Yeo 2011: https://pubmed.ncbi.nlm.nih.gov/21653723/\
+\
+#Schaefer_1000Parcel_7Networks_order_Vis1_Aud2_Lan3.csv is a vector of 0/1/2/3 for visual/auditory/language networks based on overlap between the 1000 parcels with the Gordon 2016 Cerebral Cortex division: https://pubmed.ncbi.nlm.nih.gov/25316338/\
+\
+Original file:\
+https://github.com/ThomasYeoLab/CBIG/blob/master/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal/Parcellations/HCP/fslr32k/cifti/Schaefer2018_1000Parcels_7Networks_order_info.txt}

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