Michael J. Kahana

The paper identifies individual differences in neural activity during encoding that distinguish good from poor learners using EEG data.

The paper investigates whether recalling a recurring event reinstates its initial occurrence's neural context, finding stronger temporal context associations with the first occurrence than later repetitions.

This study shows that structural network architecture of stimulation targets determines the effectiveness of closed-loop brain stimulation for memory improvement.

This paper proposes a theoretical framework explaining replay as context-driven memory reactivation, showing how it facilitates memory consolidation through context-experience interactions.

The paper introduces a wireless neurostimulation device that decodes brain states and delivers closed-loop stimulation in sheep, showing reliable classification of movement and modulation of spectral activity.

The paper examines how theta, alpha, and beta phase consistency in neural oscillations predicts memory encoding dynamics during word recall tasks in neurosurgical patients.

The paper investigates neural components specific to episodic memory by analyzing cross-task decoding in patients performing free recall and arithmetic tasks.

The paper analyzes intracranial recordings to show that brain-wide theta synchrony, especially slow theta, marks successful episodic memory retrieval and correlates with theta power increases.

The paper investigates how human medial temporal lobe neurons represent temporal order during memory formation and recall, finding preserved neural codes for temporal positions in both phases.

This paper develops a non-invasive closed-loop system using EEG to optimize memory by timing stimulus presentation based on real-time neural predictions.

The paper investigates memory encoding and retrieval in a naturalistic spatial-episodic task using EEG, finding spectral correlates of successful memory and a consistent pattern of theta, alpha/beta, and gamma power changes.

This study examines EEG biomarkers of age-related memory changes during encoding, finding that neural features predict memory performance and that task demands affect age-related differences.

The paper investigates hippocampal ripples during encoding and finds they predict clustering of recalled items, not direct recall.

The paper shows that MTL neurons phase-lock to hippocampal theta oscillations, indicating a role for theta synchronization in memory-related communication across brain regions.

The paper tests if targeting brain stimulation based on anatomical and functional network properties improves memory in patients.

This study shows that spontaneous reactivation during encoding predicts memory recall, supporting rapid consolidation processes.

The paper uses intracranial EEG from epilepsy patients to show that brain activity patterns during word encoding predict recall, with similar performance for item and list-level predictions.

The paper analyzes human hippocampal recordings to evaluate hypotheses about theta oscillations' role in memory, finding that narrowband theta increases during successful encoding and retrieval, while broadband changes mask these effects.

The paper finds that hippocampal ripples increase before the recall of episodic memories, particularly those that are temporally and semantically clustered.

The paper investigates how neurons in the human brain represent time and space concurrently during navigation tasks, finding dissociable temporal and spatial codes.

The paper proposes a memory-based theory of emotional disorders, linking memory retrieval and mood to explain clinical phenomena and therapeutic outcomes.

The paper identifies EEG spectral biomarkers of long-term memory retrieval by comparing immediate and delayed recall conditions.

The paper identifies cortical networks that reinstated semantic content and temporal context during episodic recall, showing how specialized systems organize memory retrieval.

The paper identifies 'anchor cells' in the human medial temporal lobe that encode egocentric spatial maps during virtual navigation.

The paper identifies oscillatory biomarkers of memory variability in TBI patients and controls, showing similar patterns of spectral power and theta connectivity during successful memory formation.

The paper examines how neural activity during memory encoding relates to endogenous brain states, showing that external factors have minimal impact on EEG correlates of successful memory.

The paper identifies time cells in the human hippocampus and entorhinal cortex that predict episodic memory temporal organization and exhibit phase precession.

The paper shows that neurons in human memory regions phase-lock to hippocampal theta oscillations during memory-related activity.

The paper studies how the human medial temporal lobe (MTL) represents spatial and semantic information through micro-wire recordings, showing that learned representations support navigation and prediction.

This study examines how direct brain stimulation affects neuronal activity in humans, finding that frequency, amplitude, and electrode location influence whether stimulation inhibits or excites activity.