Sebastian Michelmann

This study shows that memories of complex narrative events are spontaneously reactivated during rest, but reactivation is linked to gist-like recall rather than strengthening episodic memory details.

This paper proposes a generative framework for memory encoding that uses neural networks to approximate inputs through frozen weights, demonstrating effects similar to mnemonic precision and expertise in image generation models.

This study shows how episodic memory enhances working memory through pattern separation, completion, and predictive recall, using eye-tracking and behavioral tasks.

The paper shows that hippocampal ripples trigger cortical dimensionality expansion during correct memory retrieval, correlating with faster reaction times and reinstatement of target associations.

This study compares the reliability and signal characteristics of OPM-MEG, fMRI, and iEEG during repeated movie viewings, showing OPM's reliability and cross-modal consistency.

This study compares representational merging during retrieval training and sleep, finding increased similarity between similar objects only during retrieval training.

This paper introduces Canonical Representational Mapping (CRM), a method to identify neural patterns aligned with cognitive hypotheses, validated through simulations and applied to neurophysiological datasets.

The paper investigates how empathy for physical pain is influenced by autobiographical memory reactivation and perspective taking, finding that AM reactivation supports empathy when direct experience is lacking.

The paper introduces a dataset of ECoG recordings from nine participants listening to a podcast, along with linguistic features and tutorials for analysis.

The paper investigates neural state patterns during memory search, showing hippocampal-neocortical communication facilitates retrieval of event-related information.

The paper shows that linguistic embedding spaces can capture neural alignment during conversations, revealing shared meaning between speakers and listeners.

This study evaluates the test-retest reliability of OPM-MEG for whole-brain functional connectivity, showing high group-level repeatability and individual robustness across theta, alpha, and beta frequency ranges.

The paper identifies hippocampal gamma power as a marker of the switch from perceptual cues to mnemonic representations during memory recall, revealing hippocampal-cortical dynamics.

The paper tracks memory formation and retrieval during story listening, showing neural correlates of predictive recall and hippocampo-cortical interactions.

The paper investigates whether autobiographical memory reactivation occurs during empathy, finding evidence through EEG and fMRI that AM reactivation is linked to higher empathy ratings.

The paper introduces a neural network model to simulate how cortical alpha oscillations regulate memory replay by disrupting rhythms to detect temporal sequences.

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

The paper shows that human episodic memory replay involves temporally compressed forward replay of sub-events, with flexible skipping across transitions.

The paper shows that associating a static cue with a dynamic stimulus creates a dynamic memory representation in working memory, linked to decreased low-frequency EEG power across visual and auditory domains.

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