BAYESIAN BASED BRAIN SOURCE LOCALIZATION TECHNIQUE USING EEG SIGNALS

An empirical Bayesian solution to the source reconstruction problem in EEG

Phillips, C
Mattout, J
Rugg, MD
Maquet, P
Friston, KJ

January 2005

Distributed linear solutions of the EEG source localisation problem are used routinely. In contrast ...

EEG source imaging

Michel, C. M.
Murray, M. M.
Lantz, G.
Gonzalez, S.
Spinelli, L.
Grave de Peralta, R.

October 2004

OBJECTIVE: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...

Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches.

Belardinelli, P
Ortiz, E
Barnes, G
Noppeney, U
Preissl, H

December 2012

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS

MUNSIF, ALI JATOI

November 2017

The brain source localization information is used to diagnose various brain disorders such as epile...

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Belardinelli, P.
Ortiz, E.
Barnes, G.
Noppeney, U.
Preissl, H.

December 2012

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Paolo Belardinelli
Erick Ortiz
Gareth Barnes
Hubert Preissl

August 2016

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Belardinelli, P.
Ortiz, E.
Barnes, G.
Noppeney, U.
Preissl, H.

December 2012

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches.

Paolo Belardinelli
Erick Ortiz
Gareth Barnes
Uta Noppeney
Hubert Preissl

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Paolo Belardinelli (108467)
Erick Ortiz (108472)
Gareth Barnes (108476)
Uta Noppeney (108481)
Hubert Preissl (36356)

December 2012

<div><p>Electro- and magnetoencephalography allow for non-invasive investigation of human brain acti...

MEG source localization under multiple constraints: an extended Bayesian framework

Mattout, Jérémie
Phillips, Christophe
Penny, William D
Rugg, Michael D
Friston, Karl J

April 2006

To use Electroencephalography (EEG) and Magnetoencephalography (MEG) as functional brain 3D imaging ...

MEG source localization under multiple constraints: An extended Bayesian framework

Mattout, J.
Phillips, Christophe
Penny, W. D.
Rugg, M. D.
Friston, K. J.

April 2006

To use Electroencephalography (EEG) and Magnetoencephalography (MEG) as functional brain 3D imaging ...

Improved EEG source localization with Bayesian uncertainty modelling of unknown skull conductivity

Rimpiläinen, Ville
Koulouri, Alexandra
Lucka, Felix
Kaipio, Jari P.
Wolters, Carsten H.

December 2019

Electroencephalography (EEG) source imaging is an ill-posed inverse problem that requires accurate c...

Improved EEG source localization with Bayesian uncertainty modelling of unknown skull conductivity

Rimpiläinen, Ville
Koulouri, Alexandra
Lucka, Felix
Kaipio, Jari
Wolters, Carsten

March 2019

Electroencephalography (EEG) source imaging is an ill-posed inverse problem that requires accurate c...

A Novel Bayesian Approach for EEG Source Localization

Vangelis P. Oikonomou
Ioannis Kompatsiaris

January 2020

We propose a new method for EEG source localization. An efficient solution to this problem requires ...

EEG source imaging

Michel, C. M.
Murray, M. M.
Lantz, G.
Gonzalez, S.
Spinelli, L.
Grave de Peralta, R.

October 2004

OBJECTIVE: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...

An empirical Bayesian solution to the source reconstruction problem in EEG

Phillips, C
Mattout, J
Rugg, MD
Maquet, P
Friston, KJ

January 2005

Distributed linear solutions of the EEG source localisation problem are used routinely. In contrast ...

EEG source imaging

Michel, C. M.
Murray, M. M.
Lantz, G.
Gonzalez, S.
Spinelli, L.
Grave de Peralta, R.

October 2004

OBJECTIVE: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...

Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches.

Belardinelli, P
Ortiz, E
Barnes, G
Noppeney, U
Preissl, H

December 2012

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS

MUNSIF, ALI JATOI

November 2017

The brain source localization information is used to diagnose various brain disorders such as epile...

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Belardinelli, P.
Ortiz, E.
Barnes, G.
Noppeney, U.
Preissl, H.

December 2012

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Paolo Belardinelli
Erick Ortiz
Gareth Barnes
Hubert Preissl

August 2016

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Belardinelli, P.
Ortiz, E.
Barnes, G.
Noppeney, U.
Preissl, H.

December 2012

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches.

Paolo Belardinelli
Erick Ortiz
Gareth Barnes
Uta Noppeney
Hubert Preissl

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Paolo Belardinelli (108467)
Erick Ortiz (108472)
Gareth Barnes (108476)
Uta Noppeney (108481)
Hubert Preissl (36356)

December 2012

<div><p>Electro- and magnetoencephalography allow for non-invasive investigation of human brain acti...

MEG source localization under multiple constraints: an extended Bayesian framework

Mattout, Jérémie
Phillips, Christophe
Penny, William D
Rugg, Michael D
Friston, Karl J

April 2006

To use Electroencephalography (EEG) and Magnetoencephalography (MEG) as functional brain 3D imaging ...

MEG source localization under multiple constraints: An extended Bayesian framework

Mattout, J.
Phillips, Christophe
Penny, W. D.
Rugg, M. D.
Friston, K. J.

April 2006

To use Electroencephalography (EEG) and Magnetoencephalography (MEG) as functional brain 3D imaging ...

Improved EEG source localization with Bayesian uncertainty modelling of unknown skull conductivity

Rimpiläinen, Ville
Koulouri, Alexandra
Lucka, Felix
Kaipio, Jari P.
Wolters, Carsten H.

December 2019

Electroencephalography (EEG) source imaging is an ill-posed inverse problem that requires accurate c...

Improved EEG source localization with Bayesian uncertainty modelling of unknown skull conductivity

Rimpiläinen, Ville
Koulouri, Alexandra
Lucka, Felix
Kaipio, Jari
Wolters, Carsten

March 2019

Electroencephalography (EEG) source imaging is an ill-posed inverse problem that requires accurate c...

A Novel Bayesian Approach for EEG Source Localization

Vangelis P. Oikonomou
Ioannis Kompatsiaris

January 2020

We propose a new method for EEG source localization. An efficient solution to this problem requires ...

EEG source imaging

Michel, C. M.
Murray, M. M.
Lantz, G.
Gonzalez, S.
Spinelli, L.
Grave de Peralta, R.

October 2004

OBJECTIVE: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...

An empirical Bayesian solution to the source reconstruction problem in EEG

Phillips, C
Mattout, J
Rugg, MD
Maquet, P
Friston, KJ

January 2005

Distributed linear solutions of the EEG source localisation problem are used routinely. In contrast ...

EEG source imaging

Michel, C. M.
Murray, M. M.
Lantz, G.
Gonzalez, S.
Spinelli, L.
Grave de Peralta, R.

October 2004

OBJECTIVE: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...

Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches.

Belardinelli, P
Ortiz, E
Barnes, G
Noppeney, U
Preissl, H

December 2012

Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation a...

BAYESIAN BASED BRAIN SOURCE LOCALIZATION TECHNIQUE USING EEG SIGNALS

Abstract

Extracted data

BAYESIAN BASED BRAIN SOURCE LOCALIZATION TECHNIQUE USING EEG SIGNALS

Abstract

Extracted data

Related items

Related items