Publication details
Estimation of neuronal responses from fMRI data
| Authors | |
|---|---|
| Year of publication | 2011 |
| Type | Article in Proceedings |
| Conference | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
| MU Faculty or unit | |
| Citation | |
| Doi | https://doi.org/10.1109/IEMBS.2011.6092003 |
| Field | Medical equipment |
| Keywords | fMRI data; Rauch-Tung-Striebel smoother; Bayesian approach |
| Description | In this paper we describe a deconvolution technique for estimation of the neuronal signal from an observed hemodynamic responses in fMRI data. Our approach, based on the Rauch-Tung-Striebel smoother for square-root cubature Kalman filter, enables us to accurately infer the hidden states, parameters, and the input of the dynamic system. Additionally, we enhance the cubature Kalman filter with a variational Bayesian approach for adaptive estimation of the measurement noise covariance. |