Neuroelectric source localization by random spatial sampling

DOI10.1016/j.cam.2015.09.028zbMath1371.92074OpenAlexW2179499817MaRDI QIDQ898949

Francesca Pitolli, Cristina Pocci

Publication date: 21 December 2015

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2015.09.028

zbMATH Keywords

inverse problemrandom samplingmagnetoencephalographyneuroimaging

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Numerical methods for inverse problems for integral equations (65R32)

Related Items (2)

Solution of the EEG inverse problem by random dipole sampling ⋮ An inversion method based on random sampling for real-time MEG neuroimaging

Uses Software

• ElemStatLearn
• rtMEG

Cites Work

• Unnamed Item
• Adaptive iterative thresholding algorithms for magnetoencephalography (MEG)
• Statistical and computational inverse problems.
• Superresolution via Sparsity Constraints
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
• Magnetoencephalography

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