@article {70195, title = {Structural dynamics and neural representation of wing deformation.}, journal = {Proc Natl Acad Sci U S A}, volume = {122}, year = {2025}, month = {2025 Nov 18}, pages = {e2518032122}, abstract = {

Locomotor control is facilitated by mechanosensory inputs that report how the body interacts with a physical medium. Effective representation of compliant wing deformations is particularly challenging due to the many degrees of freedom. Structural configurations can constrain the stimulus space, and strategic placement of sensors can simplify computation. Here, we measured and modeled wing displacement fields and characterized spatiotemporal encoding of the wing mechanosensors. Our data show how dragonfly wing architecture prescribes deformation modes consistent across models and measurements. We found that the wing{\textquoteright}s state under normal flapping conditions is detected by the spike timing of few sensors, with additional sensors recruited under perturbation. The functional integration of wing biomechanics and sensor placement enables a straightforward solution for information transfer.

}, keywords = {Animals, Biomechanical Phenomena, Flight, Animal, Models, Biological, Odonata, Wings, Animal}, issn = {1091-6490}, doi = {10.1073/pnas.2518032122}, url = {https://doi.org/10.1073/pnas.2518032122}, 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 {69484, title = {Mechanosensory representation of wing deformations}, journal = {bioRxiv}, year = {2024}, month = {2024 Jun 02}, abstract = {

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.

}, 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 = {

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.

}, 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} } @article {47768, title = {Flight of the dragonflies and damselflies.}, journal = {Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences}, volume = {371}, year = {2016}, month = {2016 Sep 26}, abstract = {

This work is a synthesis of our current understanding of the mechanics, aerodynamics and visually mediated control of dragonfly and damselfly flight, with the addition of new experimental and computational data in several key areas. These are: the diversity of dragonfly wing morphologies, the aerodynamics of gliding flight, force generation in flapping flight, aerodynamic efficiency, comparative flight performance and pursuit strategies during predatory and territorial flights. New data are set in context by brief reviews covering anatomy at several scales, insect aerodynamics, neuromechanics and behaviour. We achieve a new perspective by means of a diverse range of techniques, including laser-line mapping of wing topographies, computational fluid dynamics simulations of finely detailed wing geometries, quantitative imaging using particle image velocimetry of on-wing and wake flow patterns, classical aerodynamic theory, photography in the field, infrared motion capture and multi-camera optical tracking of free flight trajectories in laboratory environments. Our comprehensive approach enables a novel synthesis of datasets and subfields that integrates many aspects of flight from the neurobiology of the compound eye, through the aeromechanical interface with the surrounding fluid, to flight performance under cruising and higher-energy behavioural modes.This article is part of the themed issue {\textquoteright}Moving in a moving medium: new perspectives on flight{\textquoteright}.

}, issn = {1471-2970}, doi = {10.1098/rstb.2015.0389}, author = {Bomphrey, Richard J and Nakata, Toshiyuki and Henningsson, Per and Lin, Huai-Ti} }