David Badre

The paper shows that predicted sensory outcomes are integrated into conjunctive neural representations during goal-directed action selection, influencing reaction times and learning.

The paper investigates how task context is encoded in the brain using fMRI data, finding that context is widely represented across the cortex and interacts with specific brain regions involved in attention and control.

The paper presents an information-theoretic framework for understanding cognitive control costs in context-dependent decisions, showing that policy complexity increases with response deadlines and correlates with neural dimensionality.

The paper shows that practice optimizes neural representational geometry to enhance task performance by stabilizing and aligning conjunctive neural states that abstract over non-critical task features.

The paper investigates how transient high-dimensional neural geometry supports stable conjunctive subspaces for context-dependent action selection in humans using EEG decoding.

This study shows how the human lateral prefrontal cortex uses different geometric representations for flat and hierarchical tasks, enhancing separability and abstract encoding of task-relevant variables.

The paper investigates how conjunctive representations support prioritization and selection of planned actions in working memory, showing that high-priority actions are more strongly represented and selected.

This study uses fMRI to investigate how the brain learns cognitive effort costs during task switching, finding distinct roles for the fronto-parietal network in tracking different aspects of effort.

This study uses fMRI to show that items with higher predicted utility are remembered with greater fidelity in working memory, even without concurrent memory load.

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

This study investigates neural systems involved in memory-based value judgment and decision-making using fMRI, finding distinct roles for the ventromedial prefrontal cortex and striatum.

The paper investigates the neural mechanisms of control policy implementation by distinguishing it from rule learning using fMRI and behavioral experiments.

This study investigates how cognitive control demands affect avoidance behavior using fMRI, finding partial support for the cost of control hypothesis and highlighting the role of task-negative networks.

The paper estimates the base rate of decoding information from human prefrontal cortex BOLD signals and finds it significantly lower than visual sensory cortex.

The paper demonstrates that working memory gating policies can be transferred across task contexts, highlighting their role in flexible behavior and task generalization.