Stephanie Gollwitzer

Comparing re-referencing methods for human intracranial EEG

This study compares re-referencing methods for human intracranial EEG data and finds method choice affects artefact rejection and signal characteristics but not memory effect detectability.

Beyond Rate: Hippocampal Phase Codes for Space and Memory

The paper shows that theta-phase timing of spikes encodes spatial and image information beyond firing rate in hippocampal neurons.

Hippocampal neurons code individual episodic memories in humans

The paper identifies hippocampal neurons that code for discrete episodic memories using rate or temporal firing codes, rather than individual elements within an episode.

Oscillations support short latency co-firing of neurons during human episodic memory formation.

This study shows that theta and gamma oscillations in the medial temporal lobe correlate with short-latency co-firing of neurons during successful episodic memory encoding.

Theta rhythmicity governs the timing of behavioral and hippocampal responses in humans specifically during memory-dependent tasks

The paper shows that behavioral responses during memory tasks in humans exhibit rhythmicity tied to hippocampal theta oscillations, specifically for correctly remembered trials.

Directional coupling of slow and fast hippocampal gamma with neocortical alpha/beta oscillations in human episodic memory

The paper analyzes human intracranial EEG data to show directional coupling between neocortical alpha/beta and hippocampal gamma oscillations during memory formation and retrieval.

Spectral fingerprints or spectral tilt? Evidence for distinct oscillatory signatures of memory formation

The paper investigates whether memory formation is associated with a single spectral tilt or distinct oscillatory signatures, finding that different frequency bands serve distinct functions in memory encoding.

Data-driven re-referencing of intracranial EEG based on independent component analysis (ICA)

This paper challenges bipolar referencing in intracranial EEG and proposes ICA as a more effective method for isolating local brain activity.