PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Continuous Time Particle Filtering for fMRI
Lawrence Murray and Amos Storkey
Continuous Time Particle Filtering for fMRI Volume Advances in Neural Information Processing Systems 20, 2008.

Abstract

We construct a biologically motivated stochastic differential model of the neu- ral and hemodynamic activity underlying the observed Blood Oxygen Level De- pendent (BOLD) signal in Functional Magnetic Resonance Imaging (fMRI). The model poses a dif?cult parameter estimation problem, both theoretically due to the nonlinearity and divergence of the differential system, and computationally due to its time and space complexity. We adapt a particle ?lter and smoother to the task, and discuss some of the practical approaches used to tackle the dif?culties, includ- ing use of sparse matrices and parallelisation. Results demonstrate the tractability of the approach in its application to an effective connectivity study.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
ID Code:3388
Deposited By:Amos Storkey
Deposited On:09 February 2008