Informace o publikaci
Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering
| Název česky | Dynamické modelování neuronálních odpovědí ve funkční fMRI s použitím Kalmanova kubaturního filtrování |
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| Autoři | |
| Rok publikování | 2011 |
| Druh | Článek v odborném periodiku |
| Časopis / Zdroj | NeuroImage |
| Fakulta / Pracoviště MU | |
| Citace | |
| Doi | http://dx.doi.org/10.1016/j.neuroimage.2011.03.005 |
| Obor | Neurologie, neurochirurgie, neurovědy |
| Klíčová slova | STOCHASTIC DIFFERENTIAL-EQUATIONS; BOLD HEMODYNAMIC-RESPONSES; LOCAL LINEARIZATION METHOD; CEREBRAL BLOOD-FLOW; BRAIN ACTIVATION; BALLOON MODEL; SYSTEMS; SIGNALS; NOISE; SIMULATION |
| Popis | This paper presents a new approach to inverting (fitting) models of coupled dynamical systems based on state-of-the-art (cubature) Kalman filtering. Our scheme promises to provide a significant advance in characterizing the functional architectures of distributed neuronal systems, even in the absence of known exogenous (experimental) input; e.g., resting state fMRI studies and spontaneous fluctuations in electrophysiological studies. Importantly, unlike current Bayesian filters (e.g. DEM), our scheme provides estimates of time-varying parameters, which we will exploit in future work on the adaptation and enabling of connections in the brain. |
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