EEG provides a rich measure of brain activity that can be characterized as neuronal
oscillations. However, most developmental EEG work to date has focused on analyzing EEG …

During speech processing, neural activity in non-autistic adults and infants tracks the speech
envelope. Recent research in adults indicates that this neural tracking relates to linguistic …

Neural responses appear to synchronize with sentence structure. However, researchers
have debated whether this response in the delta band (0.5–3 Hz) really reflects hierarchical …

The paper considers a new type of solutions for shunting inhibitory cellular neural networks
(SICNNs), strongly unpredictable oscillations. The conditions for the existence, uniqueness …

Domain structured dynamics introduces a way for analysis of chaos in fractals, neural
networks and random processes. It starts with newly invented abstract similarity sets and …

Individuals exhibit considerable variability in their capacity to learn and retain new
information, including novel vocabulary. Prior research has established the importance of …

Objectives: The current review aimed to explore the advances in neuropsychological
assessment in light of a recent research framework designed to improve our knowledge on …

Using electroencephalography (EEG) to study the neural oscillations supporting language
development is increasingly common; however, a clear understanding of the relationship …

The goal of the present study was to investigate the initial phases of novel grammar learning
on a neural level, concentrating on mechanisms responsible for individual variability …

Event related potentials (ERPs) and time frequency analysis of the EEG can identify the
temporally distinct coordination of groups of neurons across brain regions during sentence …