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Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data
We present two related probabilistic methods for neural source reconstruction from MEG/EEG data that reduce effects of interference, noise and correlated sources. Both methods localize source activity using a linear mixture of temporal basis functions (TBFs) learned from the data. In contrast to exi...
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| Publicado no: | Neuroimage |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4361188/ https://ncbi.nlm.nih.gov/pubmed/18455439 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2008.02.006 |
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