Timezone: »
Poster
Continuous Time Particle Filtering for fMRI
Lawrence Murray · Amos Storkey
We construct a biologically motivated stochastic differential model of the neural and hemodynamic activity underlying the observed Blood Oxygen Level Dependent (BOLD) signal in Functional Magnetic Resonance Imaging (fMRI). The model poses a difficult 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 filter and smoother to the task, and discuss some of the practical approaches used to tackle the difficulties, including use of sparse matrices and parallelisation. Results demonstrate the tractability of the approach in its application to an effective connectivity study.
Author Information
Lawrence Murray (CSIRO)
Amos Storkey (University of Edinburgh)
More from the Same Authors
-
2021 : Hamiltonian prior to Disentangle Content and Motion in Image Sequences »
Asif Khan · Amos Storkey -
2022 : Parity in predictive performance is neither necessary nor sufficient for fairness »
Justin Engelmann · Miguel Bernabeu · Amos Storkey -
2022 : Deep Class-Conditional Gaussians for Continual Learning »
Thomas Lee · Amos Storkey -
2022 Poster: Hamiltonian Latent Operators for content and motion disentanglement in image sequences »
Asif Khan · Amos Storkey -
2021 Poster: Gradient-based Hyperparameter Optimization Over Long Horizons »
Paul Micaelli · Amos Storkey -
2020 Poster: Self-Supervised Relational Reasoning for Representation Learning »
Massimiliano Patacchiola · Amos Storkey -
2020 Spotlight: Self-Supervised Relational Reasoning for Representation Learning »
Massimiliano Patacchiola · Amos Storkey -
2020 Poster: Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels »
Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey -
2020 Spotlight: Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels »
Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey -
2019 Poster: Zero-shot Knowledge Transfer via Adversarial Belief Matching »
Paul Micaelli · Amos Storkey -
2019 Spotlight: Zero-shot Knowledge Transfer via Adversarial Belief Matching »
Paul Micaelli · Amos Storkey -
2019 Poster: Learning to Learn By Self-Critique »
Antreas Antoniou · Amos Storkey -
2018 Poster: Moonshine: Distilling with Cheap Convolutions »
Elliot Crowley · Gavia Gray · Amos Storkey -
2015 Poster: Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling »
Xiaocheng Shang · Zhanxing Zhu · Benedict Leimkuhler · Amos Storkey -
2014 Workshop: NIPS Workshop on Transactional Machine Learning and E-Commerce »
David Parkes · David H Wolpert · Jennifer Wortman Vaughan · Jacob D Abernethy · Amos Storkey · Mark Reid · Ping Jin · Nihar Bhadresh Shah · Mehryar Mohri · Luis E Ortiz · Robin Hanson · Aaron Roth · Satyen Kale · Sebastien Lahaie -
2012 Poster: Continuous Relaxations for Discrete Hamiltonian Monte Carlo »
Zoubin Ghahramani · Yichuan Zhang · Charles Sutton · Amos Storkey -
2012 Spotlight: Continuous Relaxations for Discrete Hamiltonian Monte Carlo »
Zoubin Ghahramani · Yichuan Zhang · Charles Sutton · Amos Storkey -
2012 Poster: The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes »
Simon Lyons · Amos Storkey · Simo Sarkka -
2011 Poster: Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability »
David Reichert · Peggy Series · Amos Storkey -
2011 Spotlight: Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability »
David Reichert · Peggy Series · Amos Storkey -
2010 Poster: Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model »
David Reichert · Peggy Series · Amos Storkey -
2010 Poster: Sparse Instrumental Variables (SPIV) for Genome-Wide Studies »
Felix V Agakov · Paul McKeigue · Jon Krohn · Amos Storkey -
2007 Poster: Modelling motion primitives and their timing in biologically executed movements »
Ben H Williams · Marc Toussaint · Amos Storkey -
2006 Poster: Learning Structural Equation Models for fMRI »
Amos Storkey · Enrico Simonotto · Heather Whalley · Stephen Lawrie · Lawrence Murray · David McGonigle -
2006 Poster: Mixture Regression for Covariate Shift »
Amos Storkey · Masashi Sugiyama