3 citations · 4 across the 7 of their papers we have counts for
11 papers
Parameter inference from a non-stationary unknown process using statistical feature-based slow feature analysis
Kieran S. Owens, Masako Tamaki, Ben D. Fulcher
Non-stationary phenomena are ubiquitous, with examples to be found in climatological measurements, brain activity, and the behavior of financial markets. Starting with a time serie…
Statistical comparisons of time-series feature sets on classification tasks
Trent Henderson, Ben D. Fulcher
In recent years, numerous open-source software libraries have been developed for computing sets of features from univariate time series. The type and number of features vary across…
Interpretable model-free inference of parametric variation across time-series data through large-scale feature extraction
Ben D. Fulcher, Carl H. Lubba, Giorgio F. Gilestro +2
Here we address the problem of estimating the dimensionality and nature of parametric variation in an unknown generative process directly from time-series data, without specifying…
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…
Identifying statistical indicators of temporal asymmetry using a data-driven approach
Teresa Dalle Nogare, Ben D. Fulcher
The dynamics of time-reversible systems are statistically indistinguishable when observed forward or backward in time. A rich literature of statistical methods to distinguish irrev…
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…
Modeling the influences of non-local connectomic projections on geometrically constrained cortical dynamics
Rishikesan Maran, Eli J. Müller, Ben D. Fulcher
The function and dynamics of the cortex are fundamentally shaped by the specific wiring configurations of its constituent axonal fibers, also known as the connectome. However, many…
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…
Using matrix-product states for time-series machine learning
Joshua B. Moore, Hugo P. Stackhouse, Ben D. Fulcher +1
Matrix-product states (MPS) have proven to be a versatile ansatz for modeling quantum many-body physics. For many applications, and particularly in one-dimension, they capture rele…
Parameter inference from a non-stationary unknown process
Kieran S. Owens, Ben D. Fulcher
Non-stationary systems are found throughout the world, from climate patterns under the influence of variation in carbon dioxide concentration, to brain dynamics driven by ascending…
A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series
Aria Nguyen, Oscar McMullin, Joseph T. Lizier +1
Quantifying relationships between components of a complex system is critical to understanding the rich network of interactions that characterize the behavior of the system. Traditi…