Johannes D. Seelig

The paper shows that neural activity during rest in Drosophila influences walking direction and memory consolidation through reactivation of goal directions.

The paper identifies neurons in Drosophila that encode rotational velocity using motor and visual signals, updating the fly's neural compass through a mechanism that prioritizes motor information when signals are congruent.

The paper identifies glia as local sleep homeostats in Drosophila, showing their calcium responses to metabolic and behavioral cues and their role in inducing sleep through optogenetic activation.

This paper develops a technique for automated long-term two-photon imaging in head-fixed walking Drosophila over up to seven days.

The paper develops an algorithm to correct axial motion artifacts in multi-plane two-photon calcium imaging using simultaneous recordings from multiple focal planes.

The paper develops a model integrating sleep homeostasis and head direction systems in Drosophila to explain how navigation remains stable despite sleep-related plasticity.

The paper develops a camera-based optical flow tracking system for real-time treadmill ball motion in virtual reality setups, offering flexibility and accuracy.

This paper introduces a tomography method for fast volume imaging using Bessel beams and neural networks, suitable for dynamic samples like neural activity.