Abstract: We introduce a new hypothesis-testing framework, based on surrogate data generation, to assess in the frequency domain, the concept of causality among multivariate (MV) time series. The ...

Aims To investigate the association between optical coherence tomography (OCT) biomarkers and contrast sensitivity (CS) measured by the quantitative contrast sensitivity function (qCSF) in retinal ...

The Simulated Bifurcation (SB) algorithm is a fast and highly parallelizable state-of-the-art algorithm for quadratic combinatorial optimization inspired by quantum physics and spins dynamics. It ...

This repository is for downscaling physical fields using multivariate linear regression. Here the model is applied to downscale significant wave height (SWH) in the ...

Correspondence to John B Miller, Retina Service, Mass. Eye and Ear, Harvard Medical School, 243 Charles St, Boston, MA 02114, USA; john_miller{at}meei.harvard.edu Background/Aims To determine if ...

Divisive normalization is a ubiquitous computation commonly thought to be an implementation of the efficient coding principle. Despite empirical evidence that it reduces statistical redundancy present ...

In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To ...

Functional Inorganic Materials Team, Instituto de Ciencia Molecular (ICMol), Universitat de València, Paterna, 46980 València, Spain ...

Department of Chemistry, Texas A&M University, College Station, Texas 77843-3255, United States College of Chemistry, Tianjin Normal University, Tianjin, 300387, China Key Laboratory of Advanced ...