Literature DB >> 18490398

Computational mechanisms of mechanosensory processing in the cricket.

Gwen A Jacobs1, John P Miller, Zane Aldworth.   

Abstract

Crickets and many other orthopteran insects face the challenge of gathering sensory information from the environment from a set of multi-modal sensory organs and transforming these stimuli into patterns of neural activity that can encode behaviorally relevant stimuli. The cercal mechanosensory system transduces low frequency air movements near the animal's body and is involved in many behaviors including escape from predators, orientation with respect to gravity, flight steering, aggression and mating behaviors. Three populations of neurons are sensitive to both the direction and dynamics of air currents: an array of mechanoreceptor-coupled sensory neurons, identified local interneurons and identified projection interneurons. The sensory neurons form a functional map of air current direction within the central nervous system that represents the direction of air currents as three-dimensional spatio-temporal activity patterns. These dynamic activity patterns provide excitatory input to interneurons whose sensitivity and spiking output depend on the location of the neuronal arbors within the sensory map and the biophysical and electronic properties of the cell structure. Sets of bilaterally symmetric interneurons can encode the direction of an air current stimulus by their ensemble activity patterns, functioning much like a Cartesian coordinate system. These interneurons are capable of responding to specific dynamic stimuli with precise temporal patterns of action potentials that may encode these stimuli using temporal encoding schemes. Thus, a relatively simple mechanosensory system employs a variety of complex computational mechanisms to provide the animal with relevant information about its environment.

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Year:  2008        PMID: 18490398     DOI: 10.1242/jeb.016402

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  19 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

Review 2.  Active touch in orthopteroid insects: behaviours, multisensory substrates and evolution.

Authors:  Christopher Comer; Yoshichika Baba
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-11-12       Impact factor: 6.237

3.  Characterizing the fine structure of a neural sensory code through information distortion.

Authors:  Alexander G Dimitrov; Graham I Cummins; Aditi Baker; Zane N Aldworth
Journal:  J Comput Neurosci       Date:  2010-08-21       Impact factor: 1.621

4.  A computational fluid dynamics model of viscous coupling of hairs.

Authors:  Gregory C Lewin; John Hallam
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-04-11       Impact factor: 1.836

5.  The cricket cercal system implements delay-line processing.

Authors:  Jonas Mulder-Rosi; Graham I Cummins; John P Miller
Journal:  J Neurophysiol       Date:  2010-01-27       Impact factor: 2.714

Review 6.  Algorithms for Olfactory Search across Species.

Authors:  Keeley L Baker; Michael Dickinson; Teresa M Findley; David H Gire; Matthieu Louis; Marie P Suver; Justus V Verhagen; Katherine I Nagel; Matthew C Smear
Journal:  J Neurosci       Date:  2018-10-31       Impact factor: 6.167

Review 7.  Mechanosensation and Adaptive Motor Control in Insects.

Authors:  John C Tuthill; Rachel I Wilson
Journal:  Curr Biol       Date:  2016-10-24       Impact factor: 10.834

8.  Encoding of small-scale air motion dynamics in the cricket, Acheta domesticus.

Authors:  Jonas Mulder-Rosi; John P Miller
Journal:  J Neurophysiol       Date:  2022-03-30       Impact factor: 2.714

9.  Temporal encoding in a nervous system.

Authors:  Zane N Aldworth; Alexander G Dimitrov; Graham I Cummins; Tomáš Gedeon; John P Miller
Journal:  PLoS Comput Biol       Date:  2011-05-05       Impact factor: 4.475

10.  Direction-Specific Adaptation in Neuronal and Behavioral Responses of an Insect Mechanosensory System.

Authors:  Hiroto Ogawa; Kotaro Oka
Journal:  J Neurosci       Date:  2015-08-19       Impact factor: 6.167

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