Nikolai Axmacher

Distinct and overlapping correlates of fear acquisition and extinction across different neuroimaging modalities

The paper examines brain correlates of fear acquisition and extinction using multimodal neuroimaging data and identifies overlapping and distinct brain regions involved in these processes.

Ramping-up hippocampal ripples and their neocortical coupling support human visual short-term memory

The paper investigates how hippocampal ripple activity and its coupling with neocortical ripples support visual short-term memory maintenance in humans.

How Awakenings Shape Dream Recall: A Multilevel Study

This study investigates how nocturnal awakenings influence dream recall, finding that specific awakening characteristics, not just frequency, affect different types of dream recall.

Predicting individual differences of fear and cognitive learning and extinction

The paper predicts individual differences in fear and cognitive learning and extinction using multimodal neural connectivity patterns from a large dataset.

Multiscale Mechanisms of Human Memory Modulation by Deep Brain Stimulation

This study investigates how different DBS frequencies and targets affect memory performance and identifies two dissociated mechanisms underlying these effects.

Distinct representational properties of cues and contexts shape fear learning and reversal

This study investigates how the brain represents cues and contexts during fear learning and reversal, finding distinct neural strategies that predict fear renewal.

The relationship between cortisol, grid-like representations and path integration

This study shows cortisol impairs path integration by disrupting grid-like representations in the entorhinal cortex, affecting navigational performance.

Blood volume sensitive laminar fMRI with VASO in human hippocampus: Capabilities and biophysical challenges at clinical 7T scanners

This study optimizes VASO for submillimeter laminar fMRI in the human hippocampus, enabling differentiation of neural activity from vein bias in memory tasks.

It's All In The Journey: Putative Strategies Extracted from Navigation Paths Predict Spatial Memory and Hippocampal Recruitment

The paper quantifies navigation strategies in virtual tasks and links them to hippocampal activity in different groups, showing strategy variability and group-specific neural recruitment.

Task-relevant representational spaces in human memory traces

The paper shows that memory traces involve task-relevant representational spaces that influence memory strength and perceptual discrimination.

Fear learning sculpts functional brain connectivity at rest beyond the traditional fear network in humans

This study identifies RSFC changes beyond traditional fear networks after fear learning in humans.

Representational dynamics during extinction of fear memories in the human brain

This study uses iEEG and RSA to show that human extinction learning involves context-specific neural representations in the amygdala and extinction network, with theta oscillations signaling safety and predicting fear or safety responses.

Movie-watching evokes ripple-like activity within events and at event boundaries

The paper examines ripple-like activity during movie-watching in epilepsy patients, showing differential patterns in hippocampus and cortex related to event boundaries and memory encoding.

Task-specific representational spaces for memory formation in the medial temporal lobe

The paper shows that neural representations of natural concepts in the medial temporal lobe and neocortex are embedded in task-relevant representational spaces that reorganize with task demands and influence memory formation.

Multi-modal brain properties are associated with interindividual differences in fear acquisition and extinction

This study links brain properties to fear acquisition and extinction using multi-modal fMRI data, identifying overlapping and distinct brain regions involved in these processes.

Characterizing BOLD activation patterns in the human hippocampus with laminar fMRI

This study investigates how venous bias affects hippocampal laminar fMRI responses and establishes a benchmark experiment for robust single-subject activation.

Maintenance and transformation of representational formats during working memory prioritization

The paper investigates how working memory prioritization affects representational formats in visual and prefrontal cortex using intracranial EEG and deep neural networks.

Concurrent maintenance of both veridical and transformed working memory representations within unique coding schemes

The paper investigates how working memory maintains both transformed and original representations of stimuli, finding that original representations persist alongside transformed ones even when no longer task-relevant.

Maintenance of colour memoranda in activity-quiescent working memory states: Evidence from impulse perturbation

This study uses impulse perturbation to investigate how non-spatial color memoranda are maintained in working memory, finding that both cued and uncued colors can be decoded from neural activity, with differences in alpha band oscillations.

Dynamic Modulation of Representational Trajectories Through Selective Attention

This study uses a deep neural network and drift-diffusion model to show that perceptual and conceptual features are processed in parallel during perception, with selective attention altering their timing in different brain regions.

Phase-precession-like Effect in the Anterior Insula Cortex during Reward Expectancy

The paper identifies a phase-precession-like effect in the anterior insula cortex during reward expectancy, linking oscillatory coordination to improved behavioral performance.

Modeling the impact of genotype, age, sex, and continuous navigation on pathway integration performance

This study investigates how genotype, age, sex, and navigation affect pathway integration performance in a virtual environment, finding gene-age-sex interactions influence distance and angle estimation.

Representational dynamics of memories for real-life events

This study investigates how real-life events are represented in memory, finding that dynamic event segments activate the posterior medial episodic network more than static scenes.

A gradient of electrophysiological novelty responses along the human hippocampal long axis.

The paper shows a gradient of electrophysiological novelty responses along the human hippocampal long axis, with theta frequency oscillatory power increasing from anterior to posterior.

Conditioned fear reactions are associated with gray matter density but not cortical microstructure

The paper investigates the relationship between brain structure and conditioned fear reactions, finding that gray matter density correlates with fear responses but neurite architecture does not.

NREM sleep stages specifically alter dynamical integration of large-scale brain networks

The paper examines how NREM sleep stages alter large-scale brain network dynamics using EEG-fMRI data, revealing changes in network integration and communication.

Unmasking selective path integration deficits in Alzheimer's disease risk carriers

The paper identifies selective path integration deficits in Alzheimer's disease risk carriers using virtual navigation tasks and fMRI, linking them to grid cell dysfunction in the entorhinal cortex.

Tracking selective rehearsal and active inhibition of memory traces in directed forgetting

The paper shows that intentional forgetting involves both active inhibition and reduced selective rehearsal, identified through EEG analysis in a directed forgetting task.

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.

Coding advantage of grid cell orientation under noisy conditions

The paper shows that grid cells' 8-degree orientation maximizes spatial information under noise, using simulations and models.