Symptom expression in psychiatric conditions is often linked to altered threat perception,
however how computational mechanisms that support aversive learning relate to specific …

In the social sciences the prevalence of clustered, correlated, and/or repeatedly measured
data is very common. Modeling such data have classically involved the use of techniques …

How do we make simple choices such as deciding between an apple and an orange?
Recent empirical evidence suggests that choice behaviour and gaze allocation are closely …

Written language, a human cultural invention, is far too recent a development for dedicated
neural infrastructure to have evolved in its service. Newly acquired cultural skills, such as …

Objective To investigate the validity of self-reported fertility data generated by a mobile
application–based cohort in comparison with data collected by traditional clinical …

Multilevel modeling is a statistical approach to analyze hierarchical data that consist of
individual observations nested within clusters. Bayesian method is a well-known, sometimes …

Visual scene context is well-known to facilitate the recognition of scene-congruent objects.
Interestingly, however, according to predictive-processing accounts of brain function, scene …

Automation aftereffects (ie, degraded manual driving performance, delayed responses, and
more aggressive avoidance maneuvers) have been found in driving simulator studies. In …

Certain colors are strongly associated with certain adjectives (eg red is hot, blue is cold).
Some of these associations are grounded in visual experiences like seeing hot embers glow …

Recent years have seen the emergence of a visual stimulation protocol called Rapid
Invisible Frequency Tagging (RIFT) in cognitive neuroscience. In RIFT experiments, visual …