Iva K. Brunec

This study examines how expert London taxi drivers plan routes by precaching decisions at key junctions, using complexity metrics to prioritize mental sampling during route planning.

The paper shows that stereotypical hippocampal clustering correlates with successful navigation in virtual environments, and that this clustering is influenced by task and experience.

This study examines how hippocampal signal complexity and rate-of-change relate to navigational performance in a VR training program, finding that stronger learners show distinct signal patterns and faster signal change.

The paper examines pRF size along the AP axis of the hippocampus and finds it correlates with scene sensitivity, similar to surrounding MTL regions.

The paper introduces a single voxel autocorrelation technique to reveal temporal dynamics gradients in the hippocampus and entorhinal cortex during rest and navigation, showing their behavioral relevance.

This study shows that prediction errors disrupt hippocampal representations and enable memory updating by altering the relationship between hippocampal activation and memory outcomes.

The paper investigates how predictive representations guide navigation by analyzing neuroimaging data from virtual reality navigation tasks, finding differences in predictive horizons across brain regions.

The paper reports increased neural similarity from posterior to anterior hippocampus in humans using fMRI, suggesting a shift from global to local representation along the hippocampal axis.