Pupillometry is the study of changes in the diameter of the pupil as a function of cognitive
processing. This review paper provides a brief historical overview of the study of …

Although biological measurements are constrained by the same fundamental psychometric
principles as self‐report measurements, these essential principles are often neglected in …

ERP experiments generate massive datasets, often containing thousands of values for each
participant, even after averaging. The richness of these datasets can be very useful in testing …

Electromagnetic data collected using electroencephalography (EEG) and
magnetoencephalography (MEG) are of central importance for psychophysiological …

Event‐related potentials (ERPs) can be very noisy, and yet, there is no widely accepted
metric of ERP data quality. Here, we propose a universal measure of data quality for ERP …

Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the
scientific community and the industry. Driven by technological advances in sensing, wireless …

The purpose of this study was to investigate the effects of a single bout of high‐intensity
interval training (HIIT) and continuous aerobic exercise (CAE) on inhibitory control. The P3 …

What do people feel like doing after they have exerted cognitive effort or are bored? Here,
we empirically test whether people are drawn to rewards (at the neural level) following …

Objective Electroencephalography (EEG) is often used to examine neural activity time-
locked to stimuli presentation, referred to as Event-Related Potentials (ERP). However, EEG …

In studies of event-related brain potentials (ERPs), numerous decisions about data
processing are required to extract ERP scores from continuous data. Unfortunately, the …