@article {69398,
	title = {A survival-critical role for Drosophila giant interneurons during predation},
	journal = {bioRxiv},
	year = {2024},
	month = {2024 May 1},
	abstract = {<p>Large axon-diameter descending neurons are metabolically costly but transmit information rapidly from sensory neurons in the brain to motor neurons in the nerve cord. They have thus endured as a common feature of escape circuits in many animal species where speed is paramount. Though often considered isolated command neurons triggering fast-reaction-time, all-or-none escape responses, giant neurons are just one of multiple parallel pathways enabling selection between behavioral alternatives. Such degeneracy among escape circuits makes it unclear if and how giant neurons benefit prey fitness. Here we competed Drosophila melanogaster flies with genetically-silenced Giant Fibers (GFs) against flies with functional GFs in an arena with wild-caught damselfly predators and find that GF silencing decreases prey survival. Kinematic analysis of damselfly attack trajectories shows that decreased prey survival fitness results from GF-silenced flies failing to escape during predator attack speeds and approach distances that would normally elicit successful escapes. When challenged with a virtual looming predator, fly GFs promote survival by enforcing selection of a short-duration takeoff sequence as opposed to reducing reaction time. Our findings support a role for the GFs in promoting prey survival by influencing action selection as a means to enhance escape performance during realistically complex predation scenarios.</p>
},
	doi = {10.1101/2024.04.30.591368},
	url = {https://www.biorxiv.org/content/early/2024/05/01/2024.04.30.591368},
	author = {Cynthia M. Chai and Carmen Morrow and Dhyey D. Parikh and Catherine R. von Reyn and Anthony Leonardo and Gwyneth M Card}
}
@proceedings {65006,
	title = {A wireless neural/EMG telemetry system for freely moving insects.},
	year = {2010},
	month = {2010 May 30},
	abstract = {<p>We have developed a miniature telemetry system that captures neural, EMG, and acceleration signals from a freely moving insect and transmits the data wirelessly to a remote digital receiver. The system is based on a custom low-power integrated circuit that amplifies and digitizes four biopotential signals as well as three acceleration signals from an off-chip MEMS accelerometer, and transmits this information over a wireless 920-MHz telemetry link. The unit weighs 0.79 g and runs for two hours on two small batteries. We have used this system to monitor neural and EMG signals in jumping and flying locusts.</p>
},
	doi = {10.1109/ISCAS.2010.5538034},
	author = {Reid R. Harrison and Ryan J. Kier and Anthony Leonardo and Haleh Fotowat and Raymond Chan and Fabrizio Gabbiani}
}
