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[PDF] Top 20 MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data

Has 10000 "MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data" found on our website. Below are the top 20 most common "MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data".

MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data

MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data

... di↵erent MNE flavors and their di↵erent roles. All MNE packages are currently engaged in the original context of MEG/EEG processing (second quadrant), where “original context” ... Voir le document complet

14

Brainstorm: A User-Friendly Application for MEG/EEG Analysis

Brainstorm: A User-Friendly Application for MEG/EEG Analysis

... distribution, and reproduction in any medium, provided the original work is properly ...(MEG) and electroencephalography (EEG) data visualization and processing, with an ... Voir le document complet

14

Processing of gaze direction within the N170 / M170 time window: A combined EEG / MEG study

Processing of gaze direction within the N170 / M170 time window: A combined EEG / MEG study

... (wMNE), and estimated the amplitude for each of the 15000 current dipoles distributed across the cortical surface, for ERP and ERF ...N170 and M170 respectively, across ...Brainstorm ... Voir le document complet

49

Decoding perceptual thresholds from MEG/EEG

Decoding perceptual thresholds from MEG/EEG

... from MEG sensor signals used to predict coherence ...organization, and understanding which brain regions make it possible to decode the coherence levels from sensors ...data. For this, we ... Voir le document complet

5

Autoreject: Automated artifact rejection for MEG and EEG data

Autoreject: Automated artifact rejection for MEG and EEG data

... Uusitalo and Ilmoniemi , 1997 ) or SSS ( Taulu et ...the data which can be problematic for beamforming techniques ( Woolrich et ...attention, and in some software such as MNE, ... Voir le document complet

25

The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction

The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction

... Experimental MEG data We evaluate the performance of MxNE and irMxNE using data from the MIND multi-site MEG study ...different data sets from one exemplary subject, auditory ... Voir le document complet

12

2010 — Localisation des sources d'activité cérébrale à l'aide de la fusion multimodale EEG et MEG

2010 — Localisation des sources d'activité cérébrale à l'aide de la fusion multimodale EEG et MEG

... la MEG se trouve en deçà de 1 kHz et que l’on s’intéresse généralement à des fréquences entre ...gain EEG qui modélise de façon linéaire la propagation de l’activité électrique des neurones aux ...la ... Voir le document complet

118

Spatial regularization based on dMRI to solve EEG/MEG inverse problem

Spatial regularization based on dMRI to solve EEG/MEG inverse problem

... NTRODUCTION EEG and MEG are two imaging modalities that pro- vide information about brain activity with high temporal ...of MEG/EEG are current sources that are modeled using dipoles ... Voir le document complet

5

Apprentissage implicite du contexte visuel et guidage de la perception : Expériences MEG et EEG intracrânien

Apprentissage implicite du contexte visuel et guidage de la perception : Expériences MEG et EEG intracrânien

... Continuous data were collected at the MEG-EEG Centre, Hôpital Pitié- Salpétrière (Paris, ...(ECG) and vertical and horizontal electro- oculograms (EOG) were also ...nose and ... Voir le document complet

172

Robust Pre-Clinical Software System for Real Time NIRS and EEG Monitoring

Robust Pre-Clinical Software System for Real Time NIRS and EEG Monitoring

... and unnecessary conditions that do not reflect the main user needs and are not implementable given the project time ...the software must be designed with this factor in ...appreciation for ... Voir le document complet

105

Exploration of multivariate EEG /MEG signals using non-stationary models

Exploration of multivariate EEG /MEG signals using non-stationary models

... Bell and Sejnowski , 1995 ] and FastICA [ Hyvärinen , 1999 ...the data: they ignore any time correlation and focus entirely on the non-Gaussianity of the ...Pham and Garat , 1997 ... Voir le document complet

145

Dictionary learning for M/EEG multidimensional data

Dictionary learning for M/EEG multidimensional data

... I Is still able to account for different jitters across trials. Significant modifications are applied to the original JADL framework, especially in: The solution of sparse coding problem (i) by least angle ... Voir le document complet

2

High spatiotemporal cineMRI films using compressed sensing for acquiring articulatory data

High spatiotemporal cineMRI films using compressed sensing for acquiring articulatory data

... framework for acquiring 2D images of the vocal tract enables the temporal evolution of articulator contours to be extracted with a good temporal ...quality, and consequently, make the contour ... Voir le document complet

6

Data security and data processing

Data security and data processing

... Recovery is a function of detection. If we can identify all interfaces, and are able to detect all errors at the interfaces, then we can produce a recovery mechanism [r] ... Voir le document complet

155

SVM feature selection for multidimensional EEG Data

SVM feature selection for multidimensional EEG Data

... The proposed method was evaluated on a visual feedback ErrP [7] experiment. Eight BCI-naif healthy subjects per- formed the experiment. They had to retain the position of a sequence of digits displayed in square boxes on ... Voir le document complet

5

EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing.

EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing.

... The new tools include 1 a new and flexible EEGLAB STUDY design facility for framing and performing statistical analyses on data from multiple subjects; 2 a neuroelectromagnetic forward h[r] ... Voir le document complet

13

The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case

The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case

... The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case Olivier Faugeras, François Clément, Rachid Deriche, Renaud Keriven, Théodore Papadopoulo, Jean Robert[r] ... Voir le document complet

33

Multi-subject MEG/EEG source imaging with sparse multi-task regression

Multi-subject MEG/EEG source imaging with sparse multi-task regression

... on MEG data Datasets ...available MEG datasets: DS117 [66] and Cam-CAN [60]. DS117 provides MRI, MEG, EEG and fMRI data of 16 healthy subjects to whom were ... Voir le document complet

25

Towards a software architecture for generic image processing

Towards a software architecture for generic image processing

... writes and assembles algorithms to be compiled and run ...UIs, and it is sometimes extended to cover some other interfaces, sometimes in a degraded ...form. For instance many image ... Voir le document complet

209

Integrating EEG and MEG information to enhance motor-imagery classification in brain-computer interface

Integrating EEG and MEG information to enhance motor-imagery classification in brain-computer interface

... Integrating EEG and MEG information to enhance motor-imagery classification in brain-computer interface M.-C. Corsi 1,2 , M. Chavez 2 , D. Schwartz 3 , L. Hugueville 3 , A.N. Khambhati 4 , D. S. ... Voir le document complet

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