All data for [Development of neural specialization for print: Evidence for predictive coding in visual word recognition](Zhao Jing 2019)

1. Data_EEG_N1_forGLM.excel Data underlies the results of the N1 amplitude and latency. 2. Data_EEG_Behavior.excel Data underlies the results of hit rate and reaction time in the color matching task. 3. Data_Behavior_Lexical_decision.excel Data underlies the results of the binomial tests and GLMM analysis. 4. Data_Figure2A_Figure2B_Figure4C.excel<br> Use the Rscript__Figure2A_Figure2B_Figure4C to generate the Figure2A, Figure2B and Figure4C, respectively. 5. EEGdata_preprocessed.mat 1) Matlab data structured: subjects*conditions*channels*timepoints; 2) Use Peakdetection.m to get the mean peak &amp; latency in each group. These scripts provide the grouping and conditions information. 3) Use Figure4A_script, chanlocs.mat and EEGlab topoplot function to generate Figure4A. 4) Use Figure4B_script (with figure4B_script_dependency.zip unzipped in the same folder) to generate Figure4B.<br>