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Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering
This paper presents a new approach to inverting (fitting) models of coupled dynamical systems based on state-of-the-art (cubature) Kalman filtering. Crucially, this inversion furnishes posterior estimates of both the hidden states and parameters of a system, including any unknown exogenous input. Be...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3105161/ https://ncbi.nlm.nih.gov/pubmed/21396454 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.03.005 |
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