bci_toolbox

bcitoolbox (work in Progress) A benchamark classification toolbox for Brain-Computer Interface EEG data Data sets available: ERP Data sets: BCI Compeition III Challenge 2004 (P300 evoked potentials) (http://www.bbci.de/competition/iii/) EPFL P300 data set (https://mmspg.epfl.ch/BCIdatasets) P300 speller with ALS patients (set #8) (http://bnci-horizon-2020.eu/database/data-sets) LARESI inverted face data set (coming soon) SSVEP Data sets: SSVEP Exoskeleton (https://old.datahub.io/dataset/dataset-ssvep-exoskeleton) Tsinghua Sampled sinusoidal Joint Frequency-Phase Modulation SSVEP (http://www.thubci.org/en/?a=nr&id=100) San Diego Square Joint Frequnecy-Phase Modulation SSVEP (ftp://sccn.ucsd.edu/pub/ccassvep) Processing methods available: - Feature extraction: --- Downsample --- Multivariate Linear Regression(MLR) - classification : - - LDA - - Regularized LDA (shrinkage-LDA) - - SWDLA - - SVM (LIBSVM) - - Logistic Regression (LIBLINEAR) - - Random Forest - - SVM+ - - Canonical Correlation Analysis based methods : - - - CCA, FilterBank CCA (FBCCA), L1-Multiway CCA, MsetCCA, Individual Template CCA (ITCCA) - - Task-related Component Analysis (TRCA) Setup