Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior

no code implementations • 5 Jun 2019 • Feng Liu, Li Wang, Yifei Lou, Ren-cang Li, Patrick Purdon

Traditional EEG/MEG Source Imaging (ESI) methods usually assume that either source activity at different time points is unrelated, or that similar spatiotemporal patterns exist across an entire study period.

EEG

Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization

no code implementations • NeurIPS 2012 • Demba Ba, Behtash Babadi, Patrick Purdon, Emery Brown

We consider the problem of recovering a sequence of vectors, $(x_k)_{k=0}^K$, for which the increments $x_k-x_{k-1}$ are $S_k$-sparse (with $S_k$ typically smaller than $S_1$), based on linear measurements $(y_k = A_k x_k + e_k)_{k=1}^K$, where $A_k$ and $e_k$ denote the measurement matrix and noise, respectively.

Compressive Sensing