Zachariah R. Cross

This study examines slow and fast theta oscillations across the brain in a developmental cohort, revealing spatial gradients and age-related changes linked to attention and memory.

This study investigates how slow and fast theta oscillations in the hippocampal-orbitofrontal network affect working memory performance, finding opposing effects on response times and accuracy.

The paper examines how certainty modulates anticipatory neural oscillations before feedback, showing distinct alpha and beta power changes linked to learning stages and memory updating.

This study examines how age-related changes in aperiodic neural activity and NREM oscillations affect emotional memory consolidation during sleep across the lifespan.

This study maps age-related changes in aperiodic neural activity across brain regions using iEEG data from children and adults, linking these changes to cognitive development and memory performance.

This study examines how high-frequency broadband activity and theta oscillations coordinate during memory processing, showing that specific network connectivity patterns predict memory performance.

This study finds that slow oscillation-spindle coupling during sleep predicts better sequence-based language learning and is linked to memory consolidation and theta activity.

This study investigates how predictability and individual alpha frequency affect memory using event-related potentials, finding that lower alpha frequencies correlate with better memory for predictable stimuli.

The paper reanalyzes data to explore how prediction and memory encoding relate, finding that memory encoding may occur independently of prediction error and that individual differences in neural activity affect this relationship.

This study examines EEG dynamics during a complex cognitive task after mindfulness-based training, finding no direct link between adherence and specific EEG metrics like alpha power or theta power.

This study evaluates how a short-term mindfulness intervention improves performance on a dynamic task, showing adherence correlates with performance gains across individual differences.

The study reanalyzes language comprehension data to show that predictive processing in language depends on prior context and individual neural factors like alpha frequency.

The paper investigates how individual differences in wake EEG and sleep neurophysiology predict memory consolidation of complex rules in healthy adults.

The paper shows that resting-state EEG metrics, including oscillatory and aperiodic components, predict cognitive performance in dynamic tasks, with specific parameters linked to learning and testing outcomes.

The paper uses EEG data from dyads in training scenarios to show that resting-state and task-related neural activity predict team performance.

The paper investigates aperiodic neural activity as a marker for excessive daytime somnolence, finding it predictive of EDS with high accuracy using logistic regression.

The paper examines the relationship between individual alpha frequency (IAF) and second language learning, finding that lower IAF individuals perform better in grammaticality judgments and show reduced N400 amplitudes.

This study investigates how sleep and sleep deprivation affect memory consolidation and learning, finding that sleep supports memory but not necessarily consolidation's role in new learning.

The paper shows that 1/f and oscillatory EEG activity jointly predict word order rule learning in an artificial language task.

This study shows that individual differences in visuomotor performance and learning can be predicted by resting-state aperiodic neural dynamics parameters, specifically 1/f intercept and slope.

This paper reviews and meta-analyzes studies on how attention and emotion interact to affect memory, finding mixed support for attention's role in emotional memory and methodological differences in neural effects.

The paper investigates how pre-encoding alpha oscillations affect memory consolidation during wake versus sleep, finding that higher alpha power during wake enhances memory retention.

The paper investigates how sleep influences the consolidation of sentence comprehension mechanisms, proposing that sleep optimizes sequence-based and dependency-based combinatorics in language.