37 citations · 146 across the 15 of their papers we have counts for
3 papers · 1 filter
Where Bayes tweaks Gauss: Conditionally Gaussian priors for stable multi-dipole estimation
Alessandro Viani, Gianvittorio Luria, Harald Bornfleth +1
We present a very simple yet powerful generalization of a previously described model and algorithm for estimation of multiple dipoles from magneto/electro-encephalographic data. Sp…
Sequential Monte Carlo samplers for semilinear inverse problems and application to magnetoencephalography
Sara Sommariva, Alberto Sorrentino
We discuss the use of a recent class of sequential Monte Carlo methods for solving inverse problems characterized by a semi-linear structure, i.e. where the data depend linearly on…
Bayesian Multi--Dipole Modeling of a Single Topography in MEG by Adaptive Sequential Monte Carlo Samplers
Alberto Sorrentino, Gianvittorio Luria, Riccardo Aramini
In the present paper, we develop a novel Bayesian approach to the problem of estimating neural currents in the brain from a fixed distribution of magnetic field (called \emph{topog…