@inproceedings{2fe09a6a8e6f4da08a99557ec6e24931,
title = "Deconvolution of neuronal signal from hemodynamic response",
abstract = "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.",
keywords = "cubature Kalman, deconvolution, fMRI, smoother",
author = "Martin Havlicek and Jiri Jan and Milan Brazdil and Calhoun, {Vince D.}",
year = "2011",
doi = "10.1109/ICASSP.2011.5946479",
language = "English (US)",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "617--620",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}