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Honnef, R.

Publications and source records attributed to Honnef, R..

2 recordsLinked to original sources

Goal learning, memory, and drift in the Drosophila head direction system

Heading information is represented in head direction systems across species, including Drosophila. However, how navigation decisions are made and how goal memories are represented, particularly during rest, is little understood. Here, using a navigation learning assay for flies walking in virtual reality, we describe neural dynamics for direction selection and memory. Neurons in the fan-shaped body, a navigation and memory related structure, continually drift when the animal is at rest, shifted by 180{degrees} compared to walking directions. Optogenetic activation during rest biases subsequent walking direction. Learning leads to changes in drift during rest, revealing a memory of goal direction. Downstream neurons correct the 180{degrees} shift, therefore reactivating walking directions during rest. The connectome reveals a compact circuit architecture for reactivation, as validated using computational modeling. Thus, drift drives behavior, reactivates walking directions during rest, and is shaped by memory, suggesting similarities for memory consolidation in navigation circuits across species.

neuroscience↗

Automated long-term two-photon imaging in head-fixed walking Drosophila

The brain of Drosophila shows dynamics at multiple timescales, from the millisecond range of fast voltage or calcium transients to functional and structural changes occurring over multiple days. To relate such dynamics to behavior requires monitoring neural circuits across these multiple timescales in behaving animals. Here, we develop a technique for automated long-term two-photon imaging in fruit flies, during wakefulness and sleep, navigating in virtual reality over up to seven days. The method is enabled by laser surgery, a microrobotic arm for controlling forceps for dissection assistance, an automated feeding robot, as well as volumetric, simultaneous multiplane imaging. The approach is validated in the flys head direction system. Imaging in behaving flies over multiple timescales will be useful for understanding circadian activity, learning and long-term memory, or sleep.

neuroscience↗