| {\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.} |