Magnetoencephalography

Known as: Magnetoencephalograms, MSI, Magneto-encephalography 
Magnetoencephalography (MEG) is a functional neuroimaging technique for mapping brain activity by recording magnetic fields produced by electrical… (More)
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Papers overview

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Highly Cited
2012
Highly Cited
2012
A novel framework for analysing task-positive data in magnetoencephalography (MEG) is presented that can identify task-related… (More)
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Highly Cited
2011
Highly Cited
2011
This paper studies career concerns—concerns about the effects of current performance on future compensation—and describes how… (More)
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Highly Cited
2008
Highly Cited
2008
Accumulating evidence demonstrates that similar neural circuits are activated during the first-hand experience of pain and the… (More)
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Highly Cited
2008
Highly Cited
2008
PsychoPy is a software library written in Python, using OpenGL to generate very precise visual stimuli on standard personal… (More)
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Highly Cited
2007
Highly Cited
2007
Dynamic estimation methods based on linear state-space models have been applied to the inverse problem of magnetoencephalography… (More)
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Highly Cited
2002
Highly Cited
2002
We applied second-order blind identification (SOBI), an independent component analysis method, to MEG data collected during… (More)
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Highly Cited
2001
Highly Cited
2001
The aim of this study was to explore further the hypothesis that early stages of normal human hematopoiesis might be coregulated… (More)
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Highly Cited
2001
Highly Cited
2001
In ordinary independent component analysis, the components are assumed to be completely independent, and they do not necessarily… (More)
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Highly Cited
2000
Highly Cited
2000
We use the concept of phase synchronization for the analysis of noisy nonstationary bivariate data. Phase synchronization is… (More)
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Highly Cited
1999
Highly Cited
1999
Proxies are emerging as an important way to reduce user-perce iv d latency and network resource requirements in the Internet… (More)
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