Skip to content

Latest commit

 

History

History
35 lines (24 loc) · 925 Bytes

File metadata and controls

35 lines (24 loc) · 925 Bytes

seeg_deeplearning

Complete repository of deep learning and analysis scripts for real-time prediction and closed-loop control of lapses in attention.

Description

Machine learning and EEG processing:

-- EEGModels.py: Model definition for the EEGNET_PSD classifier

-- EEGNet_psd.py: Complete data loading and machine learning script

-- process_cles.py: Pre-processing script to convert raw data to stimulus-locked PSD

-- datafuncs.py: Collection of back-end processing functions

Eye tracking:

-- cles_et.py: Analysis of stimulation effects on eye-tracking

-- process_et.py: Eye tracking pre-processing script

Effects of closed-loop stimulation on task RT

-- cles_rt.py

MEG analysis

-- process_meg.py

TMS-EEG analysis

-- TMS.py