Nicholas E. Myers

The paper dissociates neural representations of time and decision during a temporal discrimination task using EEG and MVPA, showing separable signals for duration and categorical judgment.

This study investigates the role of neural oscillations in working memory prioritization using EEG, finding that beta power scales with priority shift magnitude and predicts memory fidelity.

The paper investigates whether attractive serial dependence arises during decision-making by analyzing neural activity and behavioral responses to stimulus history.

This study investigates how reward influences neural oscillations and their impact on cognitive flexibility, finding that higher anticipated rewards lead to desynchronisation of alpha and beta oscillations, which correlate with improved task performance.

The paper shows that working memory shapes neural geometry in human EEG during learning by transforming task features into low-dimensional representations.

This study shows that prefrontal cortex representations change from high-dimensional and nonlinear to low-dimensional and rule-selective as animals learn a new task rule.

The paper investigates how sensory history affects working-memory performance, finding two distinct biases in behavior and neural representations.

The paper dissociates two strategies for reward-based decision timing using EEG and representational similarity analysis, showing latent reward tracking differs from distance-to-goal tracking.

This study investigates whether attention selects individual features or whole objects in working memory using EEG, eye-tracking, and behavioral measures, finding that attention spreads between an object's features.

This study identifies two functional states in working memory: an active state for immediate task-relevant items and a latent state for prospective items, showing how they contribute to decision-making.

This study shows that reward prospect enhances neural coding of task rules, improving cognitive flexibility during decision-making.

The paper investigates how selective attention in working memory is preserved in aging, finding that attention-related brain activity and memory performance remain robust.

This study introduces a temporally unconstrained decoding method to track trial-specific neural dynamics in stimulus processing and decision making, revealing consistent but time-varying processing stages.