Lukas Imbach

The paper demonstrates that traveling brain waves support flexible working memory by minimizing neural interference during updates, supported by both artificial neural networks and human intracranial recordings.

This study uses a state space model to analyze how acute total and chronic partial sleep loss alter sleep state boundaries and dynamics, finding distinct changes in REM and slow wave sleep.

The paper shows that human medial temporal lobe neurons encode letter pairs through a segregated population during working memory, independent of single letter encoding.

The paper shows that left ventral temporal pole lesions impair verbal emotional memory but not neutral memory, while right lesions affect visual emotional memory, highlighting a lateralized role in emotional memory.

The paper shows that a hierarchical coordinate system in the human entorhinal cortex supports abstract sequence memories, mirroring spatial memory organization.

The paper shows that during retrieval of aversive memories, the hippocampus reactivates gamma activity patterns from encoding, which originate in the amygdala, suggesting a hippocampus-centered mechanism for memory retrieval.

The paper shows that hippocampal ripples predict visual stimulus unpredictability and modulate cortical responses in humans.

The paper shows that intrinsic neural timescales increase along the human auditory network, correlating with auditory response latencies.

The paper uses machine learning and intracranial EEG to show that theta-band connectivity between hippocampus and entorhinal cortex supports working memory maintenance through specific directional patterns.

The paper examines information flow between auditory cortex and hippocampus during verbal working memory tasks, finding a reversal of direction during memory maintenance.

This study investigates the effects of high-frequency DBS on sleep-wake characteristics in rats, finding that it modulates sleep intensity without altering sleep proportions or stability.