Spatial Cognition and Navigation

This study investigates how early blindness affects grid-like coding in the entorhinal cortex and finds altered symmetry patterns compared to sighted individuals.

This study finds that video gaming is linked to better spatial navigation performance, while GPS reliance is not, and gender differences in navigation are reduced after accounting for gaming experience.

The paper investigates whether heading direction in different brain regions is encoded in allocentric or egocentric coordinates, finding that superior parietal and retrosplenial regions use an egocentric code while the entorhinal cortex uses an allocentric code.

This study shows that age differences in spatial memory are reduced when tested in a naturalistic virtual reality environment compared to a desktop-based one.

The paper examines how starting to drive solo before age 18 affects wayfinding ability using a mobile game task and self-reported driving data.

This paper develops a machine learning approach to estimate person-specific neural correlates of mental rotation, showing improved prediction of reaction times compared to group-level averages.

The paper investigates how spatial contextual information affects early neural markers of scene perception and navigational affordance processing using ERP data from a memory task.

The paper proposes a Euclidean metric map with systematic distortion to model human navigation in non-Euclidean environments, showing it matches behavioral data as well as non-metric models.

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

The paper investigates whether spatial navigation involves parallel or serial processing of self-motion and landmark cues using EEG oscillations during virtual navigation.

This paper introduces an immersive sketching paradigm in virtual reality to study how presence and body orientation affect memory of distant places.

The paper examines cultural influences on self-estimated navigation ability versus actual performance across 46 countries using a large sample.

This study shows that six weeks of training with the feelSpace belt improves spatial knowledge acquisition in a virtual city, particularly in survey and route knowledge tasks.

This study shows that children and older adults can use allocentric navigation strategies equally when geometric cues are available, challenging the idea that strategy preference is age-related.

This study shows that navigation tasks influence the type of spatial representations (egocentric or allocentric) that emerge in a deep reinforcement learning model.

The paper uses EEG and machine learning to classify navigational uncertainty during wayfinding tasks in a virtual environment, achieving 0.70 ROC-AUC.

The paper investigates neural coding of object, feature, and geometry spatial cues in humans using fMRI, finding synergistic hippocampal-striatal interactions and distinct neural signatures for each cue type.

This paper introduces a graph-theoretical method to analyze eye tracking data in VR to identify and assess the function of landmarks in spatial navigation.

This study examines how eye movements during navigation reflect spatiotemporal dynamics of visually-informed planning in complex environments.

This study investigates how humans represent curved surfaces in 3D space, finding that spatial representations are flexible and influenced by behavioral experience and task demands.

The paper links street network entropy in childhood environments to spatial navigation ability in adulthood using a global video game-based cognitive task.

The paper investigates spatial representations inside and outside the visual field using fMRI and MEG, finding distinct networks in the parietal cortex for different spatial directions.

The paper investigates systematic biases in object location estimation during perspective shifts, finding participants consistently overestimate object positions in the same direction as the shift.

This study investigates how humans integrate visual and body-based cues for heading estimation, finding a hybrid strategy where cues are combined for small mismatches and compete for large ones.

This study tests a Bayesian cue combination theory of spatial reorientation and finds that participants instead use the most useful single landmark, suggesting limits to Bayesian models in complex tasks.

This study shows that using landmark-based navigation instructions improves incidental spatial learning in real-life environments compared to standard instructions.

This study shows mice use subgoal memorization to learn multi-step routes, a strategy distinct from standard spatial learning models.

This paper explores how traditional GPS navigation may hinder spatial learning and proposes an auditory-based navigation system to promote active spatial cognition.

The paper uses mobile EEG to study landmark-based navigation in virtual reality, identifying brain areas and neural modulations involved in spatial learning and behavior.

This study tests if participants can navigate abstract knowledge using a VR-based first-person navigation task, finding that both physical movement and remote exploration lead to similar learning outcomes.