Retina Project (collaboration with CBNU College of Medicine)

Core functions

• load_data.m - load random stimulus and spike time info from mat files (and save them to txt files)
• calc_STA_and_STC.m - calculate STA and STC
• find_significant_eigen_values.m - find significant eigen values of STC using a nested hypothesis test

How to run STA and STC

• See demo_sta_vs_stc.m

Matlab App (GUI) added for easier analysis!

• All the STA and STC results must be in the current workspace.

  For example, right after running demo_sta_vs_stc, save results to a MAT file (about 100~200 MB).

  save results_20190922.mat
  

  And, load the file when you want to analyze the results.

  clear
  load results_20190922.mat
  

• add tools to path

  addpath tools
  

• launch the app by typing

  stc_app
  

• In the chennel list on the left, cleck the channel you want to anlyze.

• Click 'STA' or 'STC' tap on the top

[FUTURE WORK] To add GLM analysis

1. Install GLMspiketools developed by J. Pillow.
2. Run estimGLM.m to calc STA, GLM, and bilinear GLM for some chosen channels.