Tristan Baumann

This paper investigates HC-RE-PFC network dynamics during spatial navigation in rats, finding that beta-band coupling between hippocampus and reuniens emerges during goal-directed learning and correlates with navigational efficiency.

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.

The paper presents a model of hippocampal-entorhinal interaction where place and grid cells form a joint attractor dynamic, with remapping triggered by gateway passage and memory-driven reactivation.