Dynamic state allocation for MEG source reconstruction. - Wikidata - awgldk - TriplyDB

Dynamic state allocation for MEG source reconstruction.

Dynamic state allocation for MEG source reconstruction.

http://www.wikidata.org/entity/Q37504583

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Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode Reconstruction of Neural Activity from EEG Data Using Dynamic Spatiotemporal Constraints.Non-linear Parameter Estimates from Non-stationary MEG Data.Extrinsic and Intrinsic Brain Network Connectivity Maintains Cognition across the Lifespan Despite Accelerated Decay of Regional Brain Activation.Fast transient networks in spontaneous human brain activity.Reconstructing anatomy from electro-physiological data.A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping.Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands.Optimising beamformer regions of interest analysis.

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Dynamic state allocation for MEG source reconstruction.

http://www.wikidata.org/entity/Q37504583

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on 29 March 2013

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Dynamic state allocation for MEG source reconstruction.

@en

Dynamic state allocation for MEG source reconstruction.

@nl

type

label

Dynamic state allocation for MEG source reconstruction.

@en

Dynamic state allocation for MEG source reconstruction.

@nl

prefLabel

Dynamic state allocation for MEG source reconstruction.

@en

Dynamic state allocation for MEG source reconstruction.

@nl

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J.NEUROIMAGE.2013.03.036

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Dynamic state allocation for MEG source reconstruction.

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Adam Baker

http://www.w3.org/2001/XMLSchema#string

Hamid Mohseni

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Henry Luckhoo

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Iead Rezek

http://www.w3.org/2001/XMLSchema#string

Mark W Woolrich

http://www.w3.org/2001/XMLSchema#string

P2860

Large-scale cortical correlation structure of spontaneous oscillatory activity

Signal processing in magnetoencephalography.

Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data.

Brain connectivity at different time-scales measured with EEG

Fast and robust fixed-point algorithms for independent component analysis

A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data.

Asymptotic SNR of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction.

Temporal dynamics of spontaneous MEG activity in brain networks.

MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization.

EEG microstate sequences in healthy humans at rest reveal scale-free dynamics.

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77-92

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scholarly article

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10.1016/J.NEUROIMAGE.2013.03.036

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77

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Matthew J. Brookes

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2013-03-29T00:00:00Z

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