MATLAB scripts for predictive processing in the inferior colliculus of Grin2B+/-, VPA, and Control rats

This repository contains MATLAB (R2022b) scripts used to preprocess and analyze single-unit recordings from the inferior colliculus in Grin2B+/−, VPA, and control rat models. The analysis pipeline is implemented in scr_populationanalysisautismpaper.m and population_analysis_revised.m. The workflow includes preprocessing of electrophysiological data and statistical analysis using generalized linear mixed-effects models, together with post hoc contrasts to assess group differences. The repository includes: scr_populationanalysisautismpaper.m → preprocessing and data organization pipeline population_analysis_revised.m → statistical analysis (GLMM and post hoc contrasts) makeXrow_divSexExp.m → data structuring for model inputs violinplotwhole.m → visualization function README.txt → documentation with usage instructions and methodological details This code supports reproducible investigation of predictive processing mechanisms in subcortical auditory circuits and is associated with the study:“Sex- and etiology-specific effects on predictive processing in the inferior colliculus of two rat models of autism” (DOI: https://doi.org/10.1038/s42003-026-09585-z).