25 citations · 45 across the 7 of their papers we have counts for
7 papers
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…
Bayesian Multi--Dipole Modeling in the Frequency Domain
Gianvittorio Luria, Dunja Duran, Elisa Visani +6
Background: Magneto- and Electro-encephalography record the electromagnetic field generated by neural currents with high temporal frequency and good spatial resolution, and are the…
Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings
Filippo Rossi, Gianvittorio Luria, Sara Sommariva +1
We deal with estimation of multiple dipoles from combined MEG and EEG time--series. We use a sequential Monte Carlo algorithm to characterize the posterior distribution of the numb…
Geometric Constrained Variational Calculus. I. - Piecewise smooth extremals
Enrico Massa, Danilo Bruno, Gianvittorio Luria +1
A geometric setup for constrained variational calculus is presented. The analysis deals with the study of the extremals of an action functional defined on piecewise differentiable…
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…
On the gauge structure of the calculus of variations with constraints
Danilo Bruno, Gianvittorio Luria, Enrico Pagani
A gauge-invariant formulation of constrained variational calculus, based on the introduction of the bundle of affine scalars over the configuration manifold, is presented. In the r…