2 citations · 2 across the 3 of their papers we have counts for
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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…
A comparative study of the robustness of frequency--domain connectivity measures to finite data length
Sara Sommariva, Alberto Sorrentino, Michele Piana +2
In this work we use numerical simulation to investigate how the temporal length of the data affects the reliability of the estimates of brain connectivity from EEG time--series. We…
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…
Inverse Modeling for MEG/EEG data
Alberto Sorrentino, Michele Piana
We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the…