Abstract: How do local agents and global decision makers interact in statistical signal processing problems where autonomous decisions need to be made? When individual agents possess limited sensing, ...

Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, ...

Objectives To systematically compare the effects of various antithrombotic strategies on prespecified outcomes including 28-day all-cause mortality (primary outcome), major thrombotic events and major ...

This important study presents a meta-analysis confirming a statistically significant association between slow oscillation-spindle coupling and memory formation, although the reported effects are ...

The Bayesian approach to statistical inference and other data analysis tasks gets its name from Bayes’s theorem (BT). BT specifies that a posterior probability for a hypothesis concerning a data ...

cDepartment of Medicine, University of Toronto, Toronto, ON, Canada dDepartment of Physiology, University of Toronto, Toronto, ON, Canada eDepartment of Critical Care Medicine, Mount Sinai Hospital, ...

System identification learns models of dynamical systems from input–output measurements. Estimated models should generalize by predicting system’s output responses to new, previously unseen inputs.

Abstract: Electroencephalography (EEG) and magnetoencephalography (MEG) are the most common noninvasive brain-imaging techniques for monitoring electrical brain activity and inferring brain function.