Literature DB >> 19324674

Response of cricket and spider motion-sensing hairs to airflow pulsations.

R Kant1, J A C Humphrey.   

Abstract

Closed-form analytical solutions are presented for the angular displacement, velocity and acceleration of motion-sensing filiform hairs exposed to airflow pulsations of short time duration. The specific situations of interest correspond to a spider intentionally moving towards a cricket, or an insect unintentionally moving towards or flying past a spider. The trichobothria of the spider Cupiennius salei and the cercal hairs of the cricket Gryllus bimaculatus are explored. Guided by earlier work, the spatial characteristics of the velocity field due to a flow pulsation are approximated by the local incompressible flow field due to a moving sphere. This spatial field is everywhere modulated in time by a Gaussian function represented by the summation of an infinite Fourier series, thus allowing an exploration of the spectral dependence of hair motion. Owing to their smaller total inertia, torsional restoring constant and total damping constant, short hairs are found to be significantly more responsive than long hairs to a flow pulsation. It is also found that the spider trichobothria are underdamped, while the cercal hairs of the cricket are overdamped. As a consequence, the spider hairs are more responsive to sudden air motions. Analysis shows that while two spiders of different characteristic sizes and lunge velocities can generate pulsations with comparable energy content, the associated velocity fields display different patterns of spatial decay with distance from the pulsation source. As a consequence, a small spider lunging at a high velocity generates a smaller telltale far-field velocity signal than a larger spider lunging at a lower velocity. The results obtained are in broad agreement with several of the observations and conclusions derived from combined flow and behavioural experiments performed by Casas et al. for running spiders, and by Dangles et al. for spiders and a physical model of spiders lunging at crickets.

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Year:  2009        PMID: 19324674      PMCID: PMC2827445          DOI: 10.1098/rsif.2008.0523

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  11 in total

Review 1.  How to catch the wind: spider hairs specialized for sensing the movement of air.

Authors:  F G Barth
Journal:  Naturwissenschaften       Date:  2000-02

2.  Spider senses - technical perfection and biology.

Authors:  Friedrich G Barth
Journal:  Zoology (Jena)       Date:  2002       Impact factor: 2.240

3.  Viscosity-mediated motion coupling between pairs of trichobothria on the leg of the spider Cupiennius salei.

Authors:  Brice Bathellier; Friedrich G Barth; Jörg T Albert; Joseph A C Humphrey
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-07-22       Impact factor: 1.836

4.  Analytical and numerical investigation of the flow past the lateral antennular flagellum of the crayfish Procambarus clarkii.

Authors:  Joseph A C Humphrey; Deforest Mellon
Journal:  J Exp Biol       Date:  2007-09       Impact factor: 3.312

5.  Relative contributions of organ shape and receptor arrangement to the design of cricket's cercal system.

Authors:  Olivier Dangles; Thomas Steinmann; Dominique Pierre; Fabrice Vannier; Jérôme Casas
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-06-14       Impact factor: 1.836

6.  Mechanoreceptors for near-field water displacements in crayfish.

Authors:  K Wiese
Journal:  J Neurophysiol       Date:  1976-07       Impact factor: 2.714

7.  Ultrastructure and mechanical properties of an insect mechanoreceptor: stimulus-transmitting structures and sensory apparatus of the cercal filiform hairs of Gryllus.

Authors:  W Gnatzy; J Tautz
Journal:  Cell Tissue Res       Date:  1980       Impact factor: 5.249

8.  The wind-evoked escape behavior of the cricket Gryllus bimaculatus: integration of behavioral elements

Authors: 
Journal:  J Exp Biol       Date:  1995       Impact factor: 3.312

9.  Wind spectra and the response of the cercal system in the cockroach.

Authors:  D Rinberg; H Davidowitz
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-10-18       Impact factor: 1.836

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  8 in total

1.  Air motion sensing hairs of arthropods detect high frequencies at near-maximal mechanical efficiency.

Authors:  Brice Bathellier; Thomas Steinmann; Friedrich G Barth; Jérôme Casas
Journal:  J R Soc Interface       Date:  2011-12-14       Impact factor: 4.118

2.  Responses of cricket cercal interneurons to realistic naturalistic stimuli in the field.

Authors:  Fabienne Dupuy; Thomas Steinmann; Dominique Pierre; Jean-Philippe Christidès; Graham Cummins; Claudio Lazzari; John Miller; Jérôme Casas
Journal:  J Exp Biol       Date:  2012-07-15       Impact factor: 3.312

3.  Why do insects have such a high density of flow-sensing hairs? Insights from the hydromechanics of biomimetic MEMS sensors.

Authors:  Jérôme Casas; Thomas Steinmann; Gijs Krijnen
Journal:  J R Soc Interface       Date:  2010-04-28       Impact factor: 4.118

4.  The morphological heterogeneity of cricket flow-sensing hairs conveys the complex flow signature of predator attacks.

Authors:  Thomas Steinmann; Jérôme Casas
Journal:  J R Soc Interface       Date:  2017-06       Impact factor: 4.118

5.  Neural responses from the filiform receptor neuron afferents of the wind-sensitive cercal system in three cockroach species.

Authors:  Anne C K Olsen; Jeffrey D Triblehorn
Journal:  J Insect Physiol       Date:  2014-07-18       Impact factor: 2.354

6.  Predator-induced flow disturbances alert prey, from the onset of an attack.

Authors:  Jérôme Casas; Thomas Steinmann
Journal:  Proc Biol Sci       Date:  2014-09-07       Impact factor: 5.349

Review 7.  Design principles of hair-like structures as biological machines.

Authors:  Madeleine Seale; Cathal Cummins; Ignazio Maria Viola; Enrico Mastropaolo; Naomi Nakayama
Journal:  J R Soc Interface       Date:  2018-05       Impact factor: 4.118

8.  Lidar-Based Navigation of Subterranean Environments Using Bio-Inspired Wide-Field Integration of Nearness.

Authors:  Michael T Ohradzansky; J Sean Humbert
Journal:  Sensors (Basel)       Date:  2022-01-23       Impact factor: 3.576

  8 in total

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