An integrative package for EEG data analysis and machine learning.
Manipulation of data in the Riemannian Manifold of Positive Definite Matrices and Advanced Linear Algebra
Standard Machine Learning on the Riemannian Manifold of Positive Definite Matrices
Matrix Diagonalization and Approximate Diagonalization algorithms (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)
Fourier analysis of Multivariate Data in the Frequency and Time-Frequency Domain
Fourier analysis of Multivariate Data in the Frequency and Time-Frequency Domain
Model-driven and data-driven (beamformers) sLORETA and eLORETA EEG inverse solutions
Automatic artifact correction of EEG data
An interactive plot for EEG data (can plot any multivariate time-series)
(They should work in Ubuntu as well using wine32)
Event Related Potentials Editor and Analysis
EEG data fine Editor and Blind Source Separation Analysis
Synthetic generation of Electroencephalographic data
Group Blind Source Separation Analysis
A prpogram for training working memory (all ages)
Computes the weighted FDR given a set of p-values
Tools to obtain sLORETA/eLORETA inverse solution within on-line software Open-ViBE
An old collection of software for EEG data analysis