Individual differences in general cognitive ability (GCA) have a biological basis within the
structure and function of the human brain. Network neuroscience investigations revealed …

Previous studies have established that effort can either decrease reward value as a cost or
increase reward value as an augmenter, which is referred to as the effort paradox. The …

EEG studies represent an important sub-discipline in the field of intelligence research and
have significant potential to advance the theoretical understanding and practical …

In the domain of tunnel lining defect detection, object detection algorithms have been widely
employed. However, existing algorithms suffer from inadequate extraction of global …

Recent studies suggest that the EEG aperiodic exponent (often represented as a slope in
log–log space) is sensitive to individual differences in momentary cognitive skills such as …

EEG has been used for decades to identify neurocognitive processes related to intelligence.
Evidence is accumulating for associations with neural markers of higher-order cognitive …

Cognitive neuroscience has inspired a number of methodological advances to extract the
highest signal-to-noise ratio from neuroimaging data. Popular techniques used to …

The development of the ability to anticipate—as manifested by preparatory actions and
neural activation related to the expectation of an upcoming stimulus—may play a key role in …

There is increasing interest in the role of brain oscillations in the regulation and control of
behavior. The current study examined the relations between specific cognitive abilities and …

The goal of this chapter is to provide an overview and critique of the major theories in the
cognitive neuroscience of intelligence. In taking a broad view of this literature, two related …