John Duncan

This study compares cognitive control networks in humans and macaques using fMRI, finding similarities in the MD network but differences in lateral frontal cortex activation patterns.

The paper examines bidirectional information convergence between dorsal and ventral LPFC during attentional selection, showing it is specific to the choice phase of a task.

The paper investigates how aperiodic neural activity relates to cognitive demand across the cortical hierarchy using combined fMRI and MEG data.

HeteroRC improves neural decoding by capturing nonlinear and non-phase-locked dynamics, outperforming linear methods and revealing latent neural representations in EEG data.

This study shows how feedback reshapes neural representations in vlPFC through oscillatory dynamics, making them closer to future retrieval states.

The paper shows that stimulus effects dominate representational variance in visual cortex, while task effects dominate in prefrontal and parietal cortex, suggesting distinct optimization goals for sensory vs. higher-order brain regions.

The paper investigates the functional organization of the human lateral prefrontal cortex using fMRI, revealing category-biased patches adjacent to domain-general regions.

This study examines how goal-subgoal problem solving is encoded in a distributed network of frontal lobe regions in monkeys, showing specialized and shared representations across regions.

This study shows how neural circuits adjust their representation of task-relevant and irrelevant stimuli based on noise and metabolic cost, aligning with minimal representational strategies observed in primate prefrontal cortex.

This study examines how default mode network subnetworks and multiple-demand regions respond to transitions of person, place, and time using functional MRI data.

This study uses TMS-EEG to show that parietal alpha stimulation enhances decoding of spatial attention signals but not feature information.

This study shows that Default Mode Network (DMN) activation during task switches depends on the hierarchical structure of task groups rather than the number of tasks.

The paper investigates how frontoparietal brain regions encode visual and auditory rules, finding that they use modality-specific codes rather than generalizable representations.

This study investigates the electrophysiological mechanisms of domain-general cognition using MEG/EEG, finding that both aperiodic and oscillatory components encode task demand across cognitive tasks.

This paper uses representational similarity analysis to show how neural representations of cognitive control transition gradually across subregions of the lateral prefrontal cortex, with differences in dimensionality and generalisability.

This study examines layer-specific responses in the dlPFC during a working memory task using fMRI, finding differential activation patterns in superficial and deep layers across task phases.

The paper replicates increased default mode network (DMN) activity during external task switches and shows no enhanced processing of the surrounding scene.

The paper identifies how executive functions are supported by domain-general and task-specific brain networks using high-resolution MRI data from executive tasks.

This paper introduces seRNNs, a spatially-embedded recurrent neural network model that reveals structural and functional brain motifs linked to biological optimization.

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.

This paper investigates how age-related changes in frontoparietal brain activity mediate declines in fluid intelligence and identifies physical activity variety as a potential modifiable factor.

The paper investigates how semantic control regions are topographically positioned between default-mode and multiple-demand networks, showing hybrid functional responses.

This study maps the functional architecture of the cerebral cortex during naturalistic movie-watching using fMRI data from 176 subjects, revealing 24 functional areas/networks and three executive control networks.

This study investigates the causal roles of domain-general and language-selective brain networks in speech comprehension challenges using lesion data and behavioral tasks.

This study shows that frontal cortex neurons in monkeys exhibit a binary one-shot switch between explore and exploit behaviors during a task with a known structure, rather than continuous changes linked to prediction errors.

This study examines how focal brain lesions affect performance on naturalistic tasks and finds that deficits are not explained by fluid intelligence or specific network damage but are instead linked to diverse lesions.

The paper identifies domain-general and sensory-biased regions in the human brain using fMRI and WM tasks, showing adjacent regions with different modality preferences.

The paper shows that viewing ambiguous social interactions increases connectivity between frontal and temporal brain regions in monkeys.

This study investigates brain-behavior relationships in post-stroke anomic aphasia, finding that higher-order cognitive functions, not just language-specific areas, are linked to language production deficits.

This study investigates how task domain, cognitive challenge, and tDCS modulate activity in the left inferior frontal cortex using fMRI and neuromodulation data.