Nonlinear Choice Correlation Test

The repository is the code for the Yang et al., 2021,Revealing nonlinear neural decoding by analyzing choices, Nature Communications.

See paper at https://www.biorxiv.org/content/10.1101/332353v3 for mathematical details.

Data Files

• monkey1.mat and monkey2.mat include both monkeys' behavioral and neural recording data for our noninear choice correlation tests.

• monkey1_filter.mat and monkey2_filter.mat

  include monkeys' data sampled according to similar data quality. It was generated by FigureR1.ipynb and used by Figure_R1CDE_DataQualityControl.m

• monkey1_conditioned_nuisance.mat and monkey2_conditioned_nuisance.mat

  include monkeys' data conditioned on the orientation nuisance. It was generated by FigureS5AB.ipynb and used by FigureS5C_GenerateData.m

• CC_Pvalue_Conditioned_Data.mat

  include Choice correlation analysis data based on monkey1_conditioned_nuisance.mat and monkey2_conditioned_nuisance.mat. It was generated by FigureS5C_GenerateData.m and used by FigureS5C_Plotting.nb.

Code Files

• All files are named by their corresponding Figures in the paper.