Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data

Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data

Magnetoencephalography (MEG) aims at reconstructing the unknown neuroelectric activity in the brain from non-invasive measurements of the magnetic field induced by neural sources. The solution of this ill-posed, ill-conditioned inverse problem is usually dealt with using regularization techniques th...

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Main Authors: Cristina Campi, Annalisa Pascarella, Francesca Pitolli
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Mathematical and Computational Applications
Subjects:
inverse problem
random sampling
neuroimaging
magnetoencephalography
Online Access:https://www.mdpi.com/2297-8747/24/4/98
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spelling doaj-f096344cf18447b3945664e4e19fac652020-11-25T01:36:05ZengMDPI AGMathematical and Computational Applications2297-87472019-11-012449810.3390/mca24040098mca24040098Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) DataCristina Campi0Annalisa Pascarella1Francesca Pitolli2Dipartimento di Matematica “Tullio Levi-Civita”, Università di Padova, 35131 Padova, ItalyIstituto per le Applicazioni del Calcolo (IAC) “M. Picone”, 00185 Roma, ItalyDipartimento SBAI, Università di Roma “La Sapienza”, 00161 Roma, ItalyMagnetoencephalography (MEG) aims at reconstructing the unknown neuroelectric activity in the brain from non-invasive measurements of the magnetic field induced by neural sources. The solution of this ill-posed, ill-conditioned inverse problem is usually dealt with using regularization techniques that are often time-consuming, and computationally and memory storage demanding. In this paper we analyze how a slimmer procedure, random sampling, affects the estimation of the brain activity generated by both synthetic and real sources.https://www.mdpi.com/2297-8747/24/4/98inverse problemrandom samplingneuroimagingmagnetoencephalography
collection DOAJ
language English
format Article
sources DOAJ
author Cristina Campi
Annalisa Pascarella
Francesca Pitolli
spellingShingle Cristina Campi
Annalisa Pascarella
Francesca Pitolli
Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data
Mathematical and Computational Applications
inverse problem
random sampling
neuroimaging
magnetoencephalography
author_facet Cristina Campi
Annalisa Pascarella
Francesca Pitolli
author_sort Cristina Campi
title Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data
title_short Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data
title_full Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data
title_fullStr Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data
title_full_unstemmed Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data
title_sort less is enough: assessment of the random sampling method for the analysis of magnetoencephalography (meg) data
publisher MDPI AG
series Mathematical and Computational Applications
issn 2297-8747
publishDate 2019-11-01
description Magnetoencephalography (MEG) aims at reconstructing the unknown neuroelectric activity in the brain from non-invasive measurements of the magnetic field induced by neural sources. The solution of this ill-posed, ill-conditioned inverse problem is usually dealt with using regularization techniques that are often time-consuming, and computationally and memory storage demanding. In this paper we analyze how a slimmer procedure, random sampling, affects the estimation of the brain activity generated by both synthetic and real sources.
topic inverse problem
random sampling
neuroimaging
magnetoencephalography
url https://www.mdpi.com/2297-8747/24/4/98
work_keys_str_mv AT cristinacampi lessisenoughassessmentoftherandomsamplingmethodfortheanalysisofmagnetoencephalographymegdata
AT annalisapascarella lessisenoughassessmentoftherandomsamplingmethodfortheanalysisofmagnetoencephalographymegdata
AT francescapitolli lessisenoughassessmentoftherandomsamplingmethodfortheanalysisofmagnetoencephalographymegdata
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