Christian F. Doeller

The paper dissociates neural representations of cognitive maps and graphs in the human brain using fMRI and representational similarity analysis.

The paper introduces a computational model of the two dentate gyrus blades, showing how they support pattern separation and integration through distinct architectures and mechanisms.

The paper examines cross-species differences in cortical-hippocampal projections across six mammals, finding that direct unimodal input from sensory regions is selectively eliminated as brain size increases.

This study investigates age differences in action perception by analyzing brain activity and similarity judgments, finding older adults prioritize affective-communicative information over visual and action-related features.

This study uses MEG to track ripple-like activity during human sleep, showing its association with memory consolidation and reactivation.

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 identifies functional neural signatures of navigation impairment in early Alzheimer's Disease by linking biomarkers to specific brain activity patterns during navigation tasks.

This study shows that scalp EEG can detect hexadirectional modulation of gamma band activity in the MTL, linked to spatial navigation and memory retrieval.

The paper shows that eye movements actively organize memory by aligning with latent ordinal structures during encoding and maintenance, depending on cognitive demand.

The paper investigates how neural replay relates to latent cause inference and supports fast generalization in a value-based task with shared rewards.

The paper shows that working memory adapts coding strategies based on environmental structure, with neural patterns predicting performance differences in structured vs non-structured contexts.

This study shows that human locomotion mode affects spatial memory precision and cue usage in 3D environments, with flying and walking groups showing opposite patterns in vertical and horizontal accuracy.

This study shows that working memory representations in early visual cortex during memory delay periods are not encoded in the same sensory format as during perception of naturalistic images.

This study shows that task similarity during learning can impair performance, with neural and network models showing reduced orthogonality in representations for similar tasks.

The paper shows saccade-based grid-like codes in the entorhinal cortex during scene image study, linked to recognition memory performance.

The paper shows that latent-state inference, attention, and neural representational geometry are coordinated during flexible decision-making, with prediction errors affecting neural representations and task-relevant information prioritization.

The paper investigates how the brain accesses stored knowledge by comparing conceptual search to foraging in physical space, finding hippocampal theta power increases and theta-gamma coupling during semantic memory retrieval.

The paper investigates how task similarity and training regime affect learning and transfer, finding that blocked training improves performance on similar tasks, while interleaving hinders it, with an asymmetric effect based on task order.

This paper investigates how symmetric learning rules affect predictive neural representations and generalization in spatial navigation using a neural network model of hippocampal subfields.

The paper shows that re-enacting movement patterns during memory retrieval improves distance estimation by correcting path integration errors in grid cells.

The paper shows that hippocampal-entorhinal circuits and SMA represent action plans and their outcomes, with hippocampal activity scaling with outcome similarity and SMA responding to overlapping actions.

The paper demonstrates vector-based spatial coding in humans using a novel spatial updating task, revealing clover-shaped allocentric representations aligned with visual features.

This study investigates how the hippocampus represents Euclidean and path distances in spatial navigation, finding that neural patterns scale with both and adapt to changes in path distance.

This study shows that the entorhinal cortex represents action affordances in conceptual spaces, as reflected in eye movements and neural patterns.

This study investigates fine-grained visual information in the ventral visual pathway using fMRI, finding that representations are dominated by image-specific effects but also contain subtle category-specific information.

This study investigates how the hippocampus supports both episodic and spatial memory, finding evidence for a common coding mechanism rather than parallel processing.

The paper investigates how the hippocampus enables interpolation into new states during category abstraction by analyzing neural representations in the neocortex and entorhinal cortex.

The paper shows that the entorhinal cortex represents an abstract value space during decision making with a grid-like pattern aligned to the most informative value axis.

This study links grid-like signals in the entorhinal cortex to human timing behavior by showing they reflect task accuracy and regression-to-the-mean biases in time estimation.

This study shows that mental search involves egocentric vector representations and restructured grid maps in the parietal cortex during conceptual task performance.