Bin-Organized Decoding (J. Neuro: Bae&Luck, 2018).
Here you will find an updated version of Bae & Luck (2018) analysis scripts. We have updated the scripts to allow the use of bin-organized decoding, therefore allowing users to use EEGlab/ERPlab* to format and decode their own data more seamlessly.
ERPLAB Version V8.01 REQUIRED Download ERPLAB here: https://github.com/lucklab/erplab/releases/download/8.01/erplab8.01.zip
Decoding Scripts The MATLAB scripts used for the online webinar are found in this .zip file: https://github.com/ammsimmons/binorg_decoding/archive/master.zip
Order of Operations:
- Decoding_binOrg.m
- SVM_ECOC_ERP_Decoding_2020.m
--See Below for Link to Data on Box: https://ucdavis.box.com/s/aecglu8zqox52nc94f5jywj9mxktbf57 - SVM_ECOC_Stat_Plot_Permutation_2020.m
-- Required: "boundedline.m" & "inpaint_nans.m" (Kearney, 2020)
-- See here: https://www.mathworks.com/matlabcentral/fileexchange/27485-boundedline-m - SVM_ECOC_ERP_PermutationTesting_2020.m
Again, data used on our Decoding Webinar (2020) can be found at: https://ucdavis.box.com/s/aecglu8zqox52nc94f5jywj9mxktbf57
Background:
The scripts we use are an updated version of those found in Bae & Luck (2018). If you wish to see those on OSF, see them on this link https://osf.io/bpexa/
Our scripts above are much easier to adapt to use for your own data than the original 2018 scripts.