3 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
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…