Informace o publikaci
DECONVOLUTION OF NEURONAL SIGNAL FROM HEMODYNAMIC RESPONSE
| Autoři | |
|---|---|
| Rok publikování | 2011 |
| Druh | Článek ve sborníku |
| Konference | 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Lékařská zařízení, přístroje a vybavení |
| Klíčová slova | cubature; Kalman; fMRI; deconvolution; smoother |
| Popis | In this paper we describe a deconvolution technique for obtaining an approximation of the neuronal signal from an observed hemodynamic response 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. Using a series of simulations we show in this paper that we are able to move beyond the limitation of a poorly sampled observation signal and estimate the true structure of underlying neuronal signal with significantly improved temporal resolution. |
| Související projekty: |