6 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…
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…