John David Rolston

The paper uses deep reinforcement learning to model risk-adaptive decision-making strategies and identifies low-dimensional neural dynamics associated with high-performing strategies in humans.

This study identifies a unified brain circuit associated with status epilepticus using multimodal lesion mapping and gene expression analysis, showing high accuracy in distinguishing SE from other lesion etiologies.

This study uses direct electrical stimulation of the human amygdala to show it enhances object memory but not scene memory, suggesting specificity in memory prioritization.

The paper defends lesion network mapping by showing that it provides meaningful differences through specificity testing, refuting criticisms that it reflects normative connectome properties.

This study identifies somatic Ras-MAPK pathway variants in hippocampal tissue from patients with drug-resistant epilepsy, showing their association with clonal competition and worse surgical outcomes.

The paper investigates neural bursting activity in human prefrontal and temporal brain areas during visual working memory and finds that gamma and beta bursting correlates with memory performance and is coupled via a phase-burst code.

This study examines how theta burst stimulation of the basolateral amygdala modulates single-neuron activity in humans during a memory task, finding that ~30% of neurons show heterogeneous responses.

This study evaluates the acute biological response to Utah Optrode Array implantation in macaque cortex, identifying design parameters that minimize tissue damage and improve biocompatibility.

This study examines how human neurons respond to single-pulse electrical stimulation, finding that most neurons show firing rate suppression, with differences based on cell type and stimulation distance.

This study shows that spreading depolarizations (SDs) are associated with seizure termination in both human and rodent models, with SDs reducing seizure duration and delaying subsequent events.

The paper identifies neural traveling waves evoked by single-pulse brain stimulation using intracranial recordings and shows they propagate with biologically plausible velocities.

This study uses deep learning models to analyze neural activity during conversation, showing distributed and context-dependent patterns for speech production and comprehension.

This study decodes lexical semantic information from natural speech using intracranial EEG in participants during spontaneous conversation, achieving 21% accuracy.

The paper investigates how neuronal representations of reward and risk expectations differ between impulsive and less impulsive decision-makers during a risky choice task.

The paper introduces an optrode array for precise optogenetic stimulation of deep cortical layers in non-human primates, demonstrating its ability to activate neurons in specific or widespread regions.

This study uses intracranial recordings to analyze how neural activity correlates with binary and graded pain responses during tonic thermal stimuli in humans.

The paper shows that interictal epileptiform discharges (IEDs) are bidirectional traveling waves that follow the same path and direction as ictal discharges, suggesting they originate outside the seizure focus.

This study investigates how the size and shape of deep brain stimulation contacts affect neural selectivity, finding that smaller contacts better constrain activation to nearby grey matter but are less energy efficient.