When dealing with electro or magnetoencephalography records, many superv...
Inverse problems consist in recovering a signal given noisy observations...
The Sparse Approximation problem asks to find a solution x such that ||y...
Many state-of-the-art signal decomposition techniques rely on a low-rank...
Spatially-sparse predictors are good models for brain decoding: they giv...