Status of this repo

This is a submodule and earlier code used in the released code avaialble at https://github.com/sccn/childmind

Data loading and preparation matlab files

copy_resting_state.m - Copy resting state data to different folder
getjobid.m - Get SDSC job ID (does not work well or at all)
finputcheck.m - EEGLAB support function
loadtxt.m - EEGLAB support function

Deep learning Matlab files

restingstate_prepare.m - Prepare (segment) raw data (eyes open and closed)
restingstate_prepare_clean.m - Prepare data clean (eyes open and closed)
restingstate_loaddata.m - Load raw data (eyes open and closed)
restingstate_loaddata_clean.m - Load raw data clean (eyes open and closed)
restingstate_prepare_spectrum.m - Compute spectrum (run after restingstate_loaddata_clean)
restingstate_dl.m - Compute Deep learning on clean data
vgg16/dl_vgg16.m - Run VGG16 on spectral data

Data

vgg16/child_mind_spec.mat - Child mind spectral data (output of restingstate_prepare_spectrum.m)
vgg16/vgg16.mat - Pretrained vgg16 (needed for SDSC)
GSN_HydroCel_129.sfp - Electrode location file
HBN_all_Pheno.csv - Phenomenology

Folders

Readme_tasks - Readme files for some tasks
MRI_align - Align MRI file with scanned channel files
paper - relevant papers
child-mind-TP - About 10 subject The Present data including eye tracking

SDSC job files

job_child_mind_download.slurm - Download child mind data
job_child_mind_unzip.slurm - Unzip child mind data
job_resting_state_gpu6.slurm - Run DL on child mind data

Results

results.xlsx - LSTM deep learning results