Methods for the analysis of neuroimaging data have advanced significantly since the
beginning of neuroscience as a scientific discipline. Today, sophisticated statistical …

In recent years, deep learning has revolutionized machine learning and its applications,
producing results comparable to human experts in several domains, including …

Compared with traditional volume space-based multivariate pattern analysis (MVPA),
surface space-based MVPA has many advantages and has received increasing attention …

Over the past decade, the intricacies of sports-related concussions among female athletes
have become readily apparent. Traditional clinical methods for diagnosing concussions …

Previous attempts to classify task from eye movement data have relied on model
architectures designed to emulate theoretically defined cognitive processes and/or data that …

Multivariate associations including additivity, feature interactions, heterogeneous effects,
and rare feature states can present significant obstacles in statistical and machine-learning …

Transfer learning is a machine learning technique founded on the idea that knowledge
acquired by a model during “pretraining” on a source task can be transferred to the learning …

Objective: Experiencing sexual assault can significantly increase the likelihood of
developing posttraumatic stress disorder (PTSD). Therefore, this study sought to investigate …

The neural mechanisms underlying visual perception and attention continue to elude
researchers despite decades of research. Developing novel methodology and improved …

Some evidence suggests that alpha activity is directly related to the baseline firing rate of
sensory neurons which alters the probability of responding to a stimulus. Other evidence …