Z. Cross

发表

Sleep-Dependent Memory Consolidation and Incremental Sentence Comprehension: Computational Dependencies during Language Learning as Revealed by Neuronal Oscillations

Ina Bornkessel-Schlesewsky, Matthias Schlesewsky, Zachariah R. Cross, 2017, bioRxiv.

Attention and Emotion-Enhanced Memory: A Systematic Review and Meta-Analysis of Behavioural and Neuroimaging Evidence

Z. Cross, M. Kohler, Amanda Santamaria, 2018, bioRxiv.

Individual alpha frequency modulates sleep-related emotional memory consolidation

Phillip M. Alday, Andrew W. Corcoran, Z. Cross, 2020, Neuropsychologia.

Theta Activity During Encoding Interacts With NREM Sleep Oscillations to Predict Memory Generalization

Z. Cross, A. Chatburn, Tamara Gibson, 2022, Frontiers in Human Neuroscience.

Electrophysiological indices of individual differences in adult language learning

M. Schlesewsky, Ina Bornkessel-Schlesewsky, Z. Cross, 2022, bioRxiv.

M. Schlesewsky, Ina Bornkessel-Schlesewsky, Z. Cross, 2021, bioRxiv.

Mini Pinyin: A modified miniature language for studying language learning and incremental sentence processing

M. Schlesewsky, Ina Bornkessel-Schlesewsky, Z. Cross, 2020, Behavior Research Methods.

Combining neurophysiological and psychological indicators to understand individual and team cognition and decision-making

Z. Cross, A. Chatburn, Ruchi Sinha, 2020, Thinking about Cognition.

Individual differences in information processing during sleep and wake predict sleep-based memory consolidation of complex rules

Ina Bornkessel-Schlesewsky, Z. Cross, Madison Richter, 2023, bioRxiv.

Resting-state aperiodic neural activity as a novel objective marker of daytime somnolence

Z. Cross, K. Lushington, A. Chatburn, 2022, bioRxiv.

Sleep loss disrupts the neural signature of successful learning

M. Gaskell, Z. Cross, S. Cairney, 2022, bioRxiv.

Neural Mechanisms of Learning are Critically Dependent on Sleep

M. Gaskell, Z. Cross, S. Cairney, 2021 .

Alpha Oscillatory Activity Prior to Encoding Modulates Memory Consolidation during Wake but not Sleep

Phillip M. Alday, Zachariah R. Cross, Mark J. Kohler, 2017, bioRxiv.

Gender bias in academia: A lifetime problem that needs solutions

Deb L. Marciano, Mark A. Gorenstein, Enitan T Marcelle, 2021, Neuron.

Slow oscillation-spindle coupling predicts sequence-based language learning

Matthias Schlesewsky, Robert T. Knight, Ina Bornkessel-Schlesewsky, 2020, bioRxiv.

Spindle-slow oscillation coupling during sleep predicts sequence-based language learning

Andrew W. Corcoran, R. Knight, R. Helfrich, 2021 .

Theta Activity During Encoding Interacts With NREM Sleep Oscillations to Predict Memory Generalization

Z. Cross, A. Chatburn, Tamar Gibson, 2021, bioRxiv.

Resting-state aperiodic neural dynamics predict individual differences in visuomotor performance and learning.

M. Schlesewsky, Ina Bornkessel-Schlesewsky, Z. Cross, 2021, Human movement science.

Resting-state aperiodic neural dynamics predict individual differences in visuomotor performance and learning

M. Schlesewsky, Ina Bornkessel-Schlesewsky, Z. Cross, 2021, bioRxiv.

Expecting the unexpected: A reanalysis of a multi-laboratory study provides evidence for prediction in language

M. Schlesewsky, Ina Bornkessel-Schlesewsky, Z. Cross, 2023 .

Running head: NEURAL FACTORS INFLUENCING RULE EXTRACTION

Ina Bornkessel-Schlesewsky, Z. Cross, Madison Richter, 2023 .

Oscillatory and aperiodic neural activity jointly predict language learning

Ina Bornkessel-Schlesewsky, Matthias Schlesewsky, Zachariah R. Cross, 2020, bioRxiv.

Oscillatory and aperiodic neural activity jointly 1 predict language learning 2 3 Abbreviated Title : Neural correlates of language learning 4 5 6

Andrew W. Corcoran, M. Schlesewsky, Z. Cross, 2021 .

Neural and cognitive correlates of performance in dynamic multi-modal settings

Jessica L. Irons, M. Schlesewsky, Ina Bornkessel-Schlesewsky, 2022, bioRxiv.

Predictions in language adapt across contexts and individuals

M. Schlesewsky, Ina Bornkessel-Schlesewsky, Z. Cross, 2023, bioRxiv.

Neural signatures of teamwork: Evidence from real-world military training

M. Schlesewsky, Ina Bornkessel-Schlesewsky, Z. Cross, 2021 .

Individual differences in information processing during sleep and wake predict sleep-based memory consolidation of complex rules

Ina Bornkessel-Schlesewsky, Z. Cross, Madison Richter, 2023, Neurobiology of Learning and Memory.

Neural and cognitive correlates of performance in dynamic multi-modal settings

Jessica L. Irons, M. Schlesewsky, Ina Bornkessel-Schlesewsky, 2023, Neuropsychologia.

Oscillatory and Aperiodic Neural Activity Jointly Predict Language Learning

Andrew W. Corcoran, M. Schlesewsky, Ina Bornkessel-Schlesewsky, 2022, Journal of Cognitive Neuroscience.

Augmenting complex and dynamic performance through mindfulness-based cognitive training: An evaluation of training adherence, trait mindfulness, personality and resting-state EEG

Ina Bornkessel-Schlesewsky, Z. Cross, M. Immink, 2023, bioRxiv.

Augmenting complex and dynamic performance through mindfulness-based cognitive training: an investigation of on-task EEG dynamics

Z. Cross, M. Immink, Chloe A. Dziego, 2024, bioRxiv.