442 citations · 622 across the 11 of their papers we have counts for
14 papers
Estimating measures of information processing during cognitive tasks using functional magnetic resonance imaging
Chetan Gohil, Oliver M. Cliff, James M. Shine +2
Cognition is increasingly framed in terms of information processing, yet most fMRI analyses focus on activation or functional connectivity rather than quantifying how information i…
Cross Mutual Information
Chetan Gohil, Oliver M Cliff, James M. Shine +2
Mutual information (MI) is a useful information-theoretic measure to quantify the statistical dependence between two random variables: and . Often, we are interested in unde…
Unifying concepts in information-theoretic time-series analysis
Annie G. Bryant, Oliver M. Cliff, James M. Shine +2
Information theory is a powerful framework for quantifying complexity, uncertainty, and dynamical structure in time-series data, with widespread applicability across disciplines su…
On the information-theoretic formulation of network participation
Pavle Cajic, Dominic Agius, Oliver M. Cliff +3
The participation coefficient is a widely used metric of the diversity of a node's connections with respect to a modular partition of a network. An information-theoretic formulatio…
Genome-wide networks reveal emergence of epidemic strains of Salmonella Enteritidis
Adam J. Svahn, Sheryl L. Chang, Rebecca J. Rockett +7
Objectives: To enhance monitoring of high-burden foodborne pathogens, there is opportunity to combine pangenome data with network analysis. Methods: Salmonella enterica subspecies…
Unifying Pairwise Interactions in Complex Dynamics
Oliver M. Cliff, Annie G. Bryant, Joseph T. Lizier +2
Scientists have developed hundreds of techniques to measure the interactions between pairs of processes in complex systems. But these computational methods, from correlation coeffi…
Simulating transmission scenarios of the Delta variant of SARS-CoV-2 in Australia
Sheryl L. Chang, Oliver M. Cliff, Cameron Zachreson +1
An outbreak of the Delta (B.1.617.2) variant of SARS-CoV-2 that began around mid-June 2021 in Sydney, Australia, quickly developed into a nation-wide epidemic. The ongoing epidemic…
How will mass-vaccination change COVID-19 lockdown requirements in Australia?
Cameron Zachreson, Sheryl L. Chang, Oliver M. Cliff +1
Background: To prevent future outbreaks of COVID-19, Australia is pursuing a mass-vaccination approach in which a targeted group of the population comprising healthcare workers, ag…
Modelling transmission and control of the COVID-19 pandemic in Australia
Sheryl L. Chang, Nathan Harding, Cameron Zachreson +2
There is a continuing debate on relative benefits of various mitigation and suppression strategies aimed to control the spread of COVID-19. Here we report the results of agent-base…
Assessing the Significance of Directed and Multivariate Measures of Linear Dependence Between Time Series
Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher +2
Inferring linear dependence between time series is central to our understanding of natural and artificial systems. Unfortunately, the hypothesis tests that are used to determine st…
Investigating Spatiotemporal Dynamics and Synchrony of Influenza Epidemics in Australia: An Agent-Based Modelling Approach
Oliver M. Cliff, Nathan Harding, Mahendra Piraveenan +3
In this paper we present ACEMod, an agent-based modelling framework for studying influenza epidemics in Australia. The simulator is designed to analyse the spatiotemporal spread of…
Urbanization affects peak timing, prevalence, and bimodality of influenza pandemics in Australia: results of a census-calibrated model
Cameron Zachreson, Kristopher M. Fair, Oliver M. Cliff +3
We examine salient trends of influenza pandemics in Australia, a rapidly urbanizing nation. To do so, we implement state-of-the-art influenza transmission and progression models wi…
Inferring Coupling of Distributed Dynamical Systems via Transfer Entropy
Oliver M. Cliff, Mikhail Prokopenko, Robert Fitch
In this work, we are interested in structure learning for a set of spatially distributed dynamical systems, where individual subsystems are coupled via latent variables and observe…
An Information Criterion for Inferring Coupling in Distributed Dynamical Systems
Oliver M. Cliff, Mikhail Prokopenko, Robert Fitch
The behaviour of many real-world phenomena can be modelled by nonlinear dynamical systems whereby a latent system state is observed through a filter. We are interested in interacti…