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Dickerson, B. H.

Publications and source records attributed to Dickerson, B. H..

3 recordsLinked to original sources

A multi-muscular, redundant strategy for free-flight roll stability

Whether recovering after a gust of wind, or rapidly saccading away from an oncoming predator, fruit flies show remarkable aerial dexterity about their body roll axis. Here, we investigated the detailed wing kinematic changes during free-flight roll motion and probed the neuromuscular basis for such changes. Consistent with previous work, we observed that flies manipulated the stroke amplitude difference between their wings to control their roll angle. Here, we show that flies are capable of achieving such changes by altering the stroke amplitude of either or both of their wings. Further we found that during corrections flies can also take advantage of an aerodynamically significant change in the angle of attack of their uppermost wing. Curiously, these corrective wing changes cannot be eliminated when motor neurons hypothesized to be used during roll maneuvers (i1, i2, b1, b2, and b3) are individually inhibited. However, free-flight optogenetic manipulations and quasi-steady aerodynamic calculations show that each of these motor neurons individually can effect kinematic changes consistent with a roll correction. Combining this evidence with an analysis of haltere inputs found in the BANC connectome, we propose that the observed robustness could be the result of two sets of muscular redundancies that receive shared inputs from haltere sensory afferents: one set, containing b1 and b2, is able to increase the stroke amplitude of the lower wing; while the other set, containing i1, i2, and b3, is able to decrease the stroke amplitude and wing pitch angle of the upper wing. Because of the redundancy in the input sensory information and output wing motion in the muscles in each cluster, the fly is able to perform roll stability maneuvers even when one of the constituent motor neurons is inhibited. This framework proposes new ways fast aerial maneuverability can be implemented when dealing with the flys most unstable rotational degree of freedom.

animal behavior and cognition↗

Neural connectivity of a computational map for fly flight control.

Nervous systems rely on sensory feature maps, where the tuning of neighboring neurons for some ethologically-relevant parameter varies systematically, to control behavior1,2. Such maps can be organized topographically or based on some computational principle. However, it is unclear how the central organization of a sensory system corresponds to the functional logic of the motor system. This problem is exemplified by insect flight, where sub-millisecond modifications in wing-steering muscle activity are necessary for stability and maneuverability. Although the muscles that control wing motion are anatomically and functionally stratified into distinct motor modules3-7, comparatively little is known about the architecture of the sensory circuits that regulate their precise firing times. Here, we leverage an existing volume of an adult female VNC of the fruit fly Drosophila melanogaster8,9 to reconstruct the complete population of afferents in the haltere-natures only biological "gyroscope"10,11-and their synaptic partners. We morphometrically classify these neurons into distinct subtypes and design split-GAL4 lines that help us determine the peripheral locations from which each subtype originates. We find that each subtype, rather than originating from the same anatomical location, is comprised of multiple regions on the haltere. We then trace the flow of rapid mechanosensory feedback from the peripheral haltere receptors to the central motor circuits that control wing kinematics. Our work demonstrates how a sensory systems connectivity patterns construct a neural map that may facilitate rapid processing by the motor system.

neuroscience↗

Flies tune the sensitivity of their multifunctional gyroscope.

Locomotion requires navigating unpredictable and complex environments, demanding both stability and maneuverability within short timeframes. This is particularly important for flying insects, and the true flies (Diptera) stand out among this group for their impressive flight capabilities. Flies aerial abilities are partially attributed to halteres, tiny club-shaped structures that evolved from the hindwings and play a crucial role in flight control. Halteres oscillate during flight, in antiphase with the wings, providing rhythmic input to the wing steering system via arrays of embedded mechanosensors called campaniform sensilla. These sensor arrays convey timing information to the wing steering muscles, but linking haltere sensor location to sensor activity and the functional organization of the wing steering system remains a central challenge. Here, we use in vivo calcium imaging during tethered flight to obtain population-level recordings of the haltere sensory afferents in specific fields of sensilla. We find that haltere feedback is continuously modulated by visual stimuli to stabilize flight. Additionally, this feedback is present during saccades and help flies actively maneuver. We also find that the halteres multifaceted role arises from the steering muscles of the haltere itself, regulating haltere stroke amplitude to modulate campaniform activity. Taken together, our results underscore the crucial role of biomechanics in regulating the dynamic range of sensors and provide insight into how the sensory and motor systems of flies coevolved. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=152 SRC="FIGDIR/small/583703v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1296750org.highwire.dtl.DTLVardef@13dc425org.highwire.dtl.DTLVardef@185de0org.highwire.dtl.DTLVardef@1bb38de_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗