Henry Morrow Jones

This study uses EEG and decoding techniques to show that population-level neural activity dissociates preparatory overt from covert attention, revealing an additional spatially selective process in overt attention.

This study identifies EEG signatures of attentional lapses distinct from selective attention failures using machine learning and reaction-time analysis.

The paper shares a dataset of cognitive tasks, anatomical MRI, and functional MRI data from 103 healthy adults to study self-regulation.

The paper addresses the response time paradox in fMRI analyses by proposing a model that incorporates response times to separate condition effects from RT-related activation.

The paper uses edge-based general linear models to analyze fMRI data and identifies high-frequency network fluctuations related to attention.

The paper demonstrates that abstract task structure is represented in specific brain regions during generalization without feedback.

The paper identifies design issues in the stop-signal task of the ABCD study and proposes solutions for improving data quality and analysis.