Julija Krupic

The paper investigates how functional cell types and theta modulation shape connectivity in the medial entorhinal cortex to form spatial maps.

This study shows that hippocampal place codes reconfigure during BMI-controlled navigation to form representations independent of locomotion and external cues.

This paper introduces a fully automated homecage-based novel object recognition test for assessing long-term object memory in mice and demonstrates its robustness and reproducibility across facilities.

Repix enables reliable, reusable, and versatile chronic Neuropixels recordings in unrestrained animals over months, with minimal user training and high stability.

The paper develops variational log-Gaussian point-process methods to efficiently calculate spatial statistics for grid cells in large environments using Gaussian processes.

This study shows that grid cells and place cells in rats have time shifts proportional to their spatial scales, enabling the representation of multiple time horizons for navigation.

The paper introduces a digital platform for remote, unsupervised assessment of spatial working memory and image recognition, showing practice effects and challenges in real-world cognitive testing.

This paper introduces an automated AI-driven system for continuous phenotyping of mouse cognition and behaviour, showing it can distinguish hippocampal and Alzheimer's models better than standard tests.