Ina Bornkessel‐Schlesewsky

The absent P3a. Performance monitoring ERPs differentiate trust in humans and autonomous systems.

The paper investigates ERP components related to trust in human vs. autonomous systems, finding an absent P3a component in system monitoring, suggesting reduced frontal attention.

Verb-Specific Linking Properties Modulate the N400 Effect: Evidence from Thematic Reversal Anomalies in Malayalam

The paper investigates how verb-specific linking properties affect the N400 effect in thematic reversal anomalies in Malayalam, finding a larger N400 amplitude for object experiencer verbs.

From flexible to anticipatory processing: alpha and beta oscillatory signatures of feedback-guided strategy adaptation and memory updating

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.

Slow oscillation-spindle coupling predicts sequence-based language learning

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.

How predictability and individual alpha frequency shape memory: insights from an event-related potential investigation

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.

Predictive influences on memory encoding: investigating oscillations and the N400 event-related potential component

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.

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

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.

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

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

Prior context and individual alpha frequency (IAF) influence predictive processing during language comprehension

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

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

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

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

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.

Effects of neural noise on predictive model updating across the adult lifespan

This study shows that older adults show reduced adaptation of prediction error signals in language processing compared to younger adults, linked to neural noise and changes in aperiodic EEG metrics.

Task-related, intrinsic oscillatory and aperiodic neural activity predict performance in naturalistic team-based training scenarios

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

Electrophysiological indices of individual differences in adult language learning

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.

Oscillatory and aperiodic neural activity jointly predict language learning

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

EEG and behavioral correlates of attentional processing while walking and navigating naturalistic environments

This study examines attentional processing during walking and navigation in natural environments using EEG, finding differences in neural responses compared to lab settings.

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

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.

Individual Differences in Peripheral Hearing and Cognition Reveal Sentence Processing Differences in Healthy Older Adults

This study examines how individual differences in hearing and cognition affect sentence processing in older adults, finding distinct roles for hearing thresholds, working memory, and individual alpha frequency in predicting neural responses to grammatical structures.

Semantic Reversal Anomalies under the Microscope: Task and Modality Influences on Language-Associated Event-Related Potentials

This study investigates how task and modality influence ERP responses to semantic reversal anomalies in English, finding task demand and presentation modality affect ERP patterns and statistical methods influence effect presence.

Looking forward does not mean forgetting about the past: ERP evidence for the interplay of predictive coding and interference during language processing

The paper investigates how interference and prediction interact during language processing using ERP data, finding that interference effects depend on predictability.

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

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

Towards a reliable, automated method of individual alpha frequency (IAF) quantification

This paper introduces an automated method for estimating individual alpha frequency (IAF) using spectral smoothing, showing improved reliability compared to simpler methods.

Commentary on Sanborn and Chater: Posterior Modes are Attractor Basins

This paper discusses Sanborn and Chater's theory of cognitive and brain function using Bayesian sampling and explores its connections to free-energy principles and attractor-basin dynamics.