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Publication year
2012Publisher
Berlin : Springer
ISBN
9783642347139
In
Langs, G.; Rish, I.; Grosse-Wentrup, M. (ed.), Machine learning and interpretation in neuroimaging: Conference proceedings: Revised selected and invited contributions, pp. 148-155Annotation
International Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2011) (Sierra Nevada, Spain, December 16-17, 2011)
Publication type
Article in monograph or in proceedings

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Editor(s)
Langs, G.
Rish, I.
Grosse-Wentrup, M.
Murphy, B.
Organization
Data Science
PI Group Neuronal Oscillations
SW OZ DCC AI
PI Group Neurobiology of Language
Languages used
English (eng)
Book title
Langs, G.; Rish, I.; Grosse-Wentrup, M. (ed.), Machine learning and interpretation in neuroimaging: Conference proceedings: Revised selected and invited contributions
Page start
p. 148
Page end
p. 155
Subject
120 000 Neuronal Coherence; 150 000 MR Techniques in Brain Function; 160 000 Neuronal Oscillations; Cognitive artificial intelligence; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication; Data ScienceAbstract
As the number of possible neural sources is much higher than the number of MEG or EEG sensor readings, the inverse problem of estimating source amplitudes from sensor readings has many solutions. A common approach to tackle this problem is to assume that all sources are independent from each other. This approach is widely used in the neuroscience community and is known as beamforming. Since the source amplitude is likely to change smoothly over time, we expect to improve the source localization by taking the temporal dynamics into account. In this paper, we
incorporate the independence assumption of the standard beamformer in a linear dynamic system, and we show that by using the leadfield matrix as the observation model and setting the covariance of the observation noise to be proportional to the covariance of the observation, we arrive at the dynamic beamformer
This item appears in the following Collection(s)
- Academic publications [202923]
- Donders Centre for Cognitive Neuroimaging [3357]
- Electronic publications [101091]
- Faculty of Science [31885]
- Faculty of Social Sciences [27123]
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