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

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
& 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.