Literature DB >> 7969890

Extremely non-orthogonal axes in a sense organ for rotation: behavioural analysis of the dipteran haltere system.

G Nalbach1.   

Abstract

Flies acquire information about self-rotation via Coriolis forces detected by their moving halteres. Information processing in the haltere system was analysed by exploiting the method of simulating rotational stimuli by vibrating the fly's body and simultaneously observing compensatory head and wing reactions. Although the force acting on one haltere contains Coriolis terms for rotations about three orthogonal axes, the one-haltered fly has only two measuring axes which are coded in lateral force components. A fly with two halteres has two vertical measuring axes and two horizontal axes, the latter spanning an angle of about 120 degrees. Thus, three-dimensional turning information is acquired by bilateral computation in a highly non-orthogonal system. In the stimulus velocity range up to 1000 degrees/s, comparison of intact and one-haltered flies demonstrates that for the head roll reaction the inputs from both halteres are summated, whereas for the pitch reaction the summated inputs are modified by bilateral inhibition. This non-linear operation results in uniform gains and axis fidelity for all stimulus directions in the case of the head reaction. Response saturation at high velocities takes place after the bilateral summation. The functional consequences of non-orthogonality in the dipteran haltere system is apparently superior sensitivity for pitch compared to roll. Minimization of the "area of confusion", an argument for orthogonality, seems to be of minor importance. The non-orthogonality necessitates a transformation from covariant projections to contravariant motor components. In tensor theory of the vestibulo-ocular reflex of vertebrates, this is widely assumed to be a linear operation performed by a metric tensor. The fly's solution is a linear tensor operation supplemented by a non-linear bilateral inhibition for the pitch reaction.

Mesh:

Year:  1994        PMID: 7969890     DOI: 10.1016/0306-4522(94)90068-x

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  15 in total

1.  Body rate decoupling using haltere mid-stroke measurements for inertial flight stabilization in Diptera.

Authors:  R A Thompson; M F Wehling; J H Evers; W E Dixon
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-11-15       Impact factor: 1.836

2.  Haltere afferents provide direct, electrotonic input to a steering motor neuron in the blowfly, Calliphora.

Authors:  A Fayyazuddin; M H Dickinson
Journal:  J Neurosci       Date:  1996-08-15       Impact factor: 6.167

3.  Biomechanical basis of wing and haltere coordination in flies.

Authors:  Tanvi Deora; Amit Kumar Singh; Sanjay P Sane
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-20       Impact factor: 11.205

4.  Controlling roll perturbations in fruit flies.

Authors:  Tsevi Beatus; John M Guckenheimer; Itai Cohen
Journal:  J R Soc Interface       Date:  2015-04-06       Impact factor: 4.118

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

Authors:  Nicola Rohrseitz; Steven N Fry
Journal:  J R Soc Interface       Date:  2010-06-04       Impact factor: 4.118

6.  Haltere-mediated equilibrium reflexes of the fruit fly, Drosophila melanogaster.

Authors:  M H Dickinson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-05-29       Impact factor: 6.237

7.  The roles of vision and antennal mechanoreception in hawkmoth flight control.

Authors:  Ajinkya Dahake; Anna L Stöckl; James J Foster; Sanjay P Sane; Almut Kelber
Journal:  Elife       Date:  2018-12-10       Impact factor: 8.140

8.  Limit-cycle-based control of the myogenic wingbeat rhythm in the fruit fly Drosophila.

Authors:  Jan Bartussek; A Kadir Mutlu; Martin Zapotocky; Steven N Fry
Journal:  J R Soc Interface       Date:  2013-01-02       Impact factor: 4.118

9.  Modelling of soldier fly halteres for gyroscopic oscillations.

Authors:  Rizuwana Parween; Rudra Pratap
Journal:  Biol Open       Date:  2015-01-08       Impact factor: 2.422

Review 10.  Neural control and precision of flight muscle activation in Drosophila.

Authors:  Fritz-Olaf Lehmann; Jan Bartussek
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2016-12-09       Impact factor: 1.836

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