Despite a growing body of research devoted to the study of how humans encode
environmental patterns, there is still no clear consensus about the nature of the …

The proper development of sleep and sleep-wake rhythms during early neonatal life is
crucial to lifelong neurological well-being. Recent data suggests that infants who have poor …

The neurophysiological mechanisms underlying the integration of perception and action are
an important topic in cognitive neuroscience. Yet, connections between neurophysiology …

Brain networks related to human learning can interact in cooperative but also competitive
ways to optimize performance. The investigation of learning and memory processes in a …

Despite the fact that reliability estimation is crucial for robust inference, it is underutilized in
neuroscience and cognitive psychology. Appreciating reliability can help researchers …

Emotion and affect play crucial roles in human life that can be disrupted by diseases.
Functional brain networks need to dynamically reorganize within short time periods in order …

The role of the dorsolateral prefrontal cortex (DLPFC) in implicit sequence/statistical learning
has received considerable attention in recent cognitive neuroscience research. Studies …

This study analyzes the learning styles of subjects based on their electroencephalo-graphy
(EEG) signals. The goal is to identify how the EEG features of a visual learner differ from …

Implicit sequence learning describes the acquisition of serially ordered movements and
sequentially structured cognitive information, that occurs without awareness. Theta, alpha …

The ability of the brain to extract patterns from the environment and predict future events,
known as statistical learning, has been proposed to interact in a competitive manner with …