2 citations · 2 across the 2 of their papers we have counts for
5 papers
The role of spectral complexity in connectivity estimation
Elisabetta Vallarino, Michele Piana, Alberto Sorrentino +1
The study of functional connectivity from magnetoecenphalographic (MEG) data consists in quantifying the statistical dependencies among time series describing the activity of diffe…
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…
On the two-step estimation of the cross--power spectrum for dynamical inverse problems
Elisabetta Vallarino, Sara Sommariva, Michele Piana +1
We consider the problem of reconstructing the cross--power spectrum of an unobservable multivariate stochatic process from indirect measurements of a second multivariate stochastic…
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…