Software
Deep unsupervised learning
[NEW!] Code for Time-Contrastive Learning
Linear unsupervised learning
FastICA: Fast Independent Component Analysis
ICASSO: Analyzing reliability of independent components
LiNGAM: Causal discovery based on non-Gaussianity
Natural image statistics / visual modelling
Natural Image Statistics package (code for the book);
alternatively the imageica package
Neuroimaging data analysis
SpeDeBox: Decoding EEG/MEG using spectral infomation
OCF: Analysing variability (nonstationarity) of connectivity
ISCTEST: Testing independent components
Fourier-ICA: Improved ICA by time-frequency transforms
[Most were programmed by others, but implementing algorithms I have (co-)developed]
|
