GLM_chen_lab

prerequisite: your matlab has following toolbox:

1. Curve fitting
2. Signal Processing
3. Statistics and Machine Learning

create your own copy of define_covariate_factor_idx for your project

User Manual:

1. clone the codes.

2. copy paste cc034 from here to the same folder as the code

3. unzip cc034-4_whisker.zip

4. run run_GLM_session

   inputs in the codes are:

   1. 'directory/anm/session': directory for raw data
   2. ROI_list: leave it empty if you don't have specific neurons to cover, or in this format: {'neuron1','neuron2'}
   3. Project = 'CRACK';% find TODO Project and add your project and your define_covariate_factor_idx
   4. includeWhisker = 0; % 1 if you have whisker data
   5. coupling = 0; %1 if you want include coupling,(ref Dense functional and molecular readout of a circuit hub in sensory cortex)
   6. denoise = 1; %1 if your raw data has been preprocessed by the deepinterpolation
   7. plot_whiskers = 0;
   8. enhsup = 0; %only 1 if your data has a enhance suppression case, (ref Context dependent sensory processing across primary and secondary somatosensory cortex)