Literature DB >> 9425555

Spatio-temporal properties of motion detectors matched to low image velocities in hovering insects.

D C O'Carroll1, S B Laughlin, N J Bidwell, R A Harris.   

Abstract

Our recent study [O'Carroll et al. (1996). Nature 382, 63-66) described a correlation between the spatio-temporal properties of motion detecting neurons in the optic lobes of flying insects and behaviour. We consider here theoretical properties of insect motion detectors at very low image velocities and measure spatial and temporal sensitivity of neurons in the lobula complex of two specialised hovering insects, the bee-fly Bombylius and the hummingbird hawkmoth, Macroglossum. The spatio-temporal optima of direction-selective neurons in these insects lie at lower velocities than those of other insects which we have studied, including large syrphid flies, which are also excellent hoverers. We argue that spatio-temporal optima reflect a compromise between the demands of diverse behaviour, which can involve prolonged periods of stationary, hovering flight followed by spectacular high speed pursuits of conspecifics. Males of the syrphid Eristalis which engage in such behaviour, have higher temporal frequency optima than females. High contrast sensitivity in these flies nevertheless results in reliable responses at very low image velocities. Neurons of Bombylius have two distinct velocity optima, suggesting that they sum inputs from two classes of motion correlator with different time constants. This also provides sensitivity to a large range of velocities.

Mesh:

Year:  1997        PMID: 9425555     DOI: 10.1016/s0042-6989(97)00170-3

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  20 in total

1.  Sexual dimorphism matches photoreceptor performance to behavioural requirements.

Authors:  E P Hornstein; D C O'Carroll; J C Anderson; S B Laughlin
Journal:  Proc Biol Sci       Date:  2000-10-22       Impact factor: 5.349

2.  Higher-order neural processing tunes motion neurons to visual ecology in three species of hawkmoths.

Authors:  A L Stöckl; D O'Carroll; E J Warrant
Journal:  Proc Biol Sci       Date:  2017-06-28       Impact factor: 5.349

3.  On the computations analyzing natural optic flow: quantitative model analysis of the blowfly motion vision pathway.

Authors:  J P Lindemann; R Kern; J H van Hateren; H Ritter; M Egelhaaf
Journal:  J Neurosci       Date:  2005-07-06       Impact factor: 6.167

4.  Diverse speed response properties of motion sensitive neurons in the fly's optic lobe.

Authors:  John K Douglass; Nicholas J Strausfeld
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-11-15       Impact factor: 1.836

5.  Contrast sensitivity and the detection of moving patterns and features.

Authors:  David C O'Carroll; Steven D Wiederman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-01-06       Impact factor: 6.237

6.  Differential Tuning to Visual Motion Allows Robust Encoding of Optic Flow in the Dragonfly.

Authors:  Bernard J E Evans; David C O'Carroll; Joseph M Fabian; Steven D Wiederman
Journal:  J Neurosci       Date:  2019-09-03       Impact factor: 6.167

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.  Wide-field motion tuning in nocturnal hawkmoths.

Authors:  Jamie C Theobald; Eric J Warrant; David C O'Carroll
Journal:  Proc Biol Sci       Date:  2009-11-11       Impact factor: 5.349

9.  Temporal and spatial tuning of dorsal lateral geniculate nucleus neurons in unanesthetized rats.

Authors:  Balaji Sriram; Philip M Meier; Pamela Reinagel
Journal:  J Neurophysiol       Date:  2016-03-02       Impact factor: 2.714

10.  Robust models for optic flow coding in natural scenes inspired by insect biology.

Authors:  Russell S A Brinkworth; David C O'Carroll
Journal:  PLoS Comput Biol       Date:  2009-11-06       Impact factor: 4.475

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