Evidence map›Paper›PMID 20525744›Full record

ArticleJournal of the Royal Society, Interface2011

Behavioural system identification of visual flight speed control in Drosophila melanogaster.

Nicola Rohrseitz, Steven N Fry

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Multisensory integration for active mechanosensation inbioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The aerodynamics and control of free flight manoeuvres in Drosophila.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  10. Article
  11. Aerodynamics, sensing and control of insect-scale flapping-wing flight.Proceedings. Mathematical, physical, and engineering sciences · 2016
    Review
  12. Article
  13. Controlling roll perturbations in fruit flies.Journal of the Royal Society, Interface · 2015
    Article
  14. Flying Drosophila stabilize their vision-based velocity controller by sensing wind with their antennae.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  15. Vision-based flight control in the hawkmoth Hyles lineata.Journal of the Royal Society, Interface · 2014
    Article
  16. Article
  17. Embodied linearity of speed control in Drosophila melanogaster.Journal of the Royal Society, Interface · 2012
    Article
  18. Article
  19. Frequency response of lift control in Drosophila.Journal of the Royal Society, Interface · 2010
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nicola RohrseitzInstitute of Neuroinformatics, University of Zurich and ETH Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Steven N Fry

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behavioural control in many animals involves complex mechanisms with intricate sensory-motor feedback loops. Modelling allows functional aspects to be captured without relying on a description of the underlying complex, and often unknown, mechanisms. A wide range of engineering techniques are available for modelling, but their ability to describe time-continuous processes is rarely exploited to describe sensory-motor control mechanisms in biological systems. We performed a system identification of visual flight speed control in the fruitfly Drosophila, based on an extensive dataset of open-loop responses previously measured under free flight conditions. We identified a second-order under-damped control model with just six free parameters that well describes both the transient and steady-state characteristics of the open-loop data. We then used the identified control model to predict flight speed responses after a visual perturbation under closed-loop conditions and validated the model with behavioural measurements performed in free-flying flies under the same closed-loop conditions. Our system identification of the fruitfly's flight speed response uncovers the high-level control strategy of a fundamental flight control reflex without depending on assumptions about the underlying physiological mechanisms. The results are relevant for future investigations of the underlying neuromotor processing mechanisms, as well as for the design of biomimetic robots, such as micro-air vehicles.

Indexed as

Models, BiologicalAnimalsComputer SimulationDrosophila melanogasterFlight, AnimalPsychomotor PerformanceVision, OcularVisual Perception

Identifiers

PMID20525744
PMCPMC3033021

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.