@article {69484,
	title = {Mechanosensory representation of wing deformations},
	journal = {bioRxiv},
	year = {2024},
	month = {2024 Jun 02},
	abstract = {<p>Efficient representation of structural deformations is crucial for monitoring the instantaneous state of biological structures. Insects{\textquoteright} ability to encode wing deformations during flight demonstrates a general morphological computing principle applicable across sensory systems in nature as well as engineered systems. To characterize how relevant features are encoded, we measured and modelled displacement and strain across dragonfly wing surfaces in tethered and free flight. Functional interpretations were supported by neuroanatomical maps, and ablation and perturbation experiments. We find that signal redundancy is reduced by non-random sensor distributions and that morphology limits the stimulus space such that sensory systems can monitor natural states with few sensors. Deviations from the natural states are detected by a flexible population of additional sensors with many distinguishable activation patterns.</p>
},
	doi = {10.1101/2024.06.02.596338},
	url = {https://www.biorxiv.org/content/early/2024/06/02/2024.06.02.596338},
	author = {Yarger, Alexandra M and Maeda, Masateru and Siwanowicz, Igor and Kajiyama, Haruhiro and Walker, Simon M and Bomphrey, Richard J and Lin, Huai-Ti}
}
@article {68022,
	title = {Systematic characterization of wing mechanosensors that monitor airflow and wing deformations.},
	journal = {iScience},
	volume = {25},
	year = {2022},
	month = {2022 Apr 15},
	pages = {104150},
	abstract = {<p>Animal wings deform during flight in ways that can enhance lift, facilitate flight control, and mitigate damage. Monitoring the structural and aerodynamic state of the wing is challenging because deformations are passive, and the flow fields are unsteady; it requires distributed mechanosensors that respond to local airflow and strain on the wing. Without a complete map of the sensor arrays, it is impossible to model control strategies underpinned by them. Here, we present the first systematic characterization of mechanosensors on the dragonfly{\textquoteright}s wings: morphology, distribution, and wiring. By combining a cross-species survey of sensor distribution with quantitative neuroanatomy and a high-fidelity finite element analysis, we show that the mechanosensors are well placed to perceive features of the wing dynamics relevant to flight. This work describes the wing sensory apparatus in its entirety and advances our understanding of the sensorimotor loop that facilitates exquisite flight control in animals with highly deformable wings.</p>
},
	issn = {2589-0042},
	doi = {10.1016/j.isci.2022.104150},
	author = {Fabian, Joseph and Siwanowicz, Igor and Uhrhan, Myriam and Maeda, Masateru and Bomphrey, Richard J and Lin, Huai-Ti}
}
