Literature DB >> 27791056

Integration of parallel mechanosensory and visual pathways resolved through sensory conflict.

Eatai Roth1, Robert W Hall2, Thomas L Daniel2, Simon Sponberg3,4.   

Abstract

The acquisition of information from parallel sensory pathways is a hallmark of coordinated movement in animals. Insect flight, for example, relies on both mechanosensory and visual pathways. Our challenge is to disentangle the relative contribution of each modality to the control of behavior. Toward this end, we show an experimental and analytical framework leveraging sensory conflict, a means for independently exciting and modeling separate sensory pathways within a multisensory behavior. As a model, we examine the hovering flower-feeding behavior in the hawkmoth Manduca sexta In the laboratory, moths feed from a robotically actuated two-part artificial flower that allows independent presentation of visual and mechanosensory cues. Freely flying moths track lateral flower motion stimuli in an assay spanning both coupled motion, in which visual and mechanosensory cues follow the same motion trajectory, and sensory conflict, in which the two sensory modalities encode different motion stimuli. Applying a frequency-domain system identification analysis, we find that the tracking behavior is, in fact, multisensory and arises from a linear summation of visual and mechanosensory pathways. The response dynamics are highly preserved across individuals, providing a model for predicting the response to novel multimodal stimuli. Surprisingly, we find that each pathway in and of itself is sufficient for driving tracking behavior. When multiple sensory pathways elicit strong behavioral responses, this parallel architecture furnishes robustness via redundancy.

Entities:  

Keywords:  animal locomotion; control theory; redundancy; sensory integration; system identification

Year:  2016        PMID: 27791056      PMCID: PMC5111652          DOI: 10.1073/pnas.1522419113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  20 in total

1.  A comparison of visual and haltere-mediated equilibrium reflexes in the fruit fly Drosophila melanogaster.

Authors:  Alana Sherman; Michael H Dickinson
Journal:  J Exp Biol       Date:  2003-01       Impact factor: 3.312

2.  Sensory uncertainty governs the extent of audio-visual interaction.

Authors:  J Heron; D Whitaker; P V McGraw
Journal:  Vision Res       Date:  2004-11       Impact factor: 1.886

3.  Antennae in the hawkmoth Manduca sexta (Lepidoptera, Sphingidae) mediate abdominal flexion in response to mechanical stimuli.

Authors:  Armin J Hinterwirth; Thomas L Daniel
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-09-07       Impact factor: 1.836

4.  Flexible strategies for sensory integration during motor planning.

Authors:  Samuel J Sober; Philip N Sabes
Journal:  Nat Neurosci       Date:  2005-03-27       Impact factor: 24.884

5.  Antennal mechanosensors mediate flight control in moths.

Authors:  Sanjay P Sane; Alexandre Dieudonné; Mark A Willis; Thomas L Daniel
Journal:  Science       Date:  2007-02-09       Impact factor: 47.728

6.  Flower tracking in hawkmoths: behavior and energetics.

Authors:  Jordanna D H Sprayberry; Thomas L Daniel
Journal:  J Exp Biol       Date:  2007-01       Impact factor: 3.312

7.  INSECT FLIGHT. Luminance-dependent visual processing enables moth flight in low light.

Authors:  Simon Sponberg; Jonathan P Dyhr; Robert W Hall; Thomas L Daniel
Journal:  Science       Date:  2015-06-11       Impact factor: 47.728

8.  Dynamic modulation of visual and electrosensory gains for locomotor control.

Authors:  Erin E Sutton; Alican Demir; Sarah A Stamper; Eric S Fortune; Noah J Cowan
Journal:  J R Soc Interface       Date:  2016-05       Impact factor: 4.118

9.  Stimulus predictability mediates a switch in locomotor smooth pursuit performance for Eigenmannia virescens.

Authors:  Eatai Roth; Katie Zhuang; Sarah A Stamper; Eric S Fortune; Noah J Cowan
Journal:  J Exp Biol       Date:  2011-04-01       Impact factor: 3.312

10.  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

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  14 in total

1.  Comparative system identification of flower tracking performance in three hawkmoth species reveals adaptations for dim light vision.

Authors:  Anna L Stöckl; Klara Kihlström; Steven Chandler; Simon Sponberg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-04-05       Impact factor: 6.237

2.  Responses to mechanically and visually cued water waves in the nervous system of the medicinal leech.

Authors:  Andrew M Lehmkuhl; Arunkumar Muthusamy; Daniel A Wagenaar
Journal:  J Exp Biol       Date:  2018-02-22       Impact factor: 3.312

3.  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

4.  Abdominal Movements in Insect Flight Reshape the Role of Non-Aerodynamic Structures for Flight Maneuverability I: Model Predictive Control for Flower Tracking.

Authors:  Jorge Bustamante; Mahad Ahmed; Tanvi Deora; Brian Fabien; Thomas L Daniel
Journal:  Integr Org Biol       Date:  2022-09-16

5.  De novo learning versus adaptation of continuous control in a manual tracking task.

Authors:  Christopher S Yang; Noah J Cowan; Adrian M Haith
Journal:  Elife       Date:  2021-06-25       Impact factor: 8.140

6.  Insect and insect-inspired aerodynamics: unsteadiness, structural mechanics and flight control.

Authors:  Richard J Bomphrey; Ramiro Godoy-Diana
Journal:  Curr Opin Insect Sci       Date:  2018-08-24       Impact factor: 5.186

7.  Tail Beat Synchronization during Schooling Requires a Functional Posterior Lateral Line System in Giant Danios, Devario aequipinnatus.

Authors:  Prasong J Mekdara; Fazila Nasimi; Margot A B Schwalbe; Eric D Tytell
Journal:  Integr Comp Biol       Date:  2021-09-08       Impact factor: 3.326

8.  Multimodal sensory information is represented by a combinatorial code in a sensorimotor system.

Authors:  Rosangela Follmann; Christopher John Goldsmith; Wolfgang Stein
Journal:  PLoS Biol       Date:  2018-10-15       Impact factor: 8.029

Review 9.  Fuelling on the wing: sensory ecology of hawkmoth foraging.

Authors:  Anna Lisa Stöckl; Almut Kelber
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2019-03-18       Impact factor: 1.836

10.  Neural evidence supports a dual sensory-motor role for insect wings.

Authors:  Brandon Pratt; Tanvi Deora; Thomas Mohren; Thomas Daniel
Journal:  Proc Biol Sci       Date:  2017-09-13       Impact factor: 5.349

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