Literature DB >> 24899670

Computation of object approach by a system of visual motion-sensitive neurons in the crab Neohelice.

Damián Oliva1, Daniel Tomsic2.   

Abstract

Similar to most visual animals, crabs perform proper avoidance responses to objects directly approaching them. The monostratified lobula giant neurons of type 1 (MLG1) of crabs constitute an ensemble of 14-16 bilateral pairs of motion-detecting neurons projecting from the lobula (third optic neuropile) to the midbrain, with receptive fields that are distributed over the extensive visual field of the animal's eye. Considering the crab Neohelice (previously Chasmagnathus) granulata, here we describe the response of these neurons to looming stimuli that simulate objects approaching the animal on a collision course. We found that the peak firing time of MLG1 acts as an angular threshold detector signaling, with a delay of δ = 35 ms, the time at which an object reaches a fixed angular threshold of 49°. Using in vivo intracellular recordings, we detected the existence of excitatory and inhibitory synaptic currents that shape the neural response. Other functional features identified in the MLG1 neurons were phasic responses at the beginning of the approach, a relation between the stimulus angular velocity and the excitation delay, and a mapping between membrane potential and firing frequency. Using this information, we propose a biophysical model of the mechanisms that regulate the encoding of looming stimuli. Furthermore, we found that the parameter encoded by the MLG1 firing frequency during the approach is the stimulus angular velocity. The proposed model fits the experimental results and predicts the neural response to a qualitatively different stimulus. Based on these and previous results, we propose that the MLG1 neuron system acts as a directional coding system for collision avoidance.
Copyright © 2014 the American Physiological Society.

Entities:  

Keywords:  collision avoidance; crustacean; lobula neurons; looming; motion detection; receptive field

Mesh:

Year:  2014        PMID: 24899670     DOI: 10.1152/jn.00921.2013

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  10 in total

1.  Binocular Neuronal Processing of Object Motion in an Arthropod.

Authors:  Florencia Scarano; Julieta Sztarker; Violeta Medan; Martín Berón de Astrada; Daniel Tomsic
Journal:  J Neurosci       Date:  2018-07-16       Impact factor: 6.167

2.  Characterization and modelling of looming-sensitive neurons in the crab Neohelice.

Authors:  Julia Carbone; Agustín Yabo; Damian Oliva
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2018-03-24       Impact factor: 1.836

3.  Behavioural and neural responses of crabs show evidence for selective attention in predator avoidance.

Authors:  Zahra M Bagheri; Callum G Donohue; Julian C Partridge; Jan M Hemmi
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

4.  Feedforward Inhibition Conveys Time-Varying Stimulus Information in a Collision Detection Circuit.

Authors:  Hongxia Wang; Richard B Dewell; Ying Zhu; Fabrizio Gabbiani
Journal:  Curr Biol       Date:  2018-05-10       Impact factor: 10.834

5.  A Novel Interception Strategy in a Miniature Robber Fly with Extreme Visual Acuity.

Authors:  Trevor J Wardill; Samuel T Fabian; Ann C Pettigrew; Doekele G Stavenga; Karin Nordström; Paloma T Gonzalez-Bellido
Journal:  Curr Biol       Date:  2017-03-09       Impact factor: 10.834

6.  Pre-synaptic Muscarinic Excitation Enhances the Discrimination of Looming Stimuli in a Collision-Detection Neuron.

Authors:  Ying Zhu; Richard B Dewell; Hongxia Wang; Fabrizio Gabbiani
Journal:  Cell Rep       Date:  2018-05-22       Impact factor: 9.423

7.  Visual motion sensitivity in descending neurons in the hoverfly.

Authors:  Sarah Nicholas; Richard Leibbrandt; Karin Nordström
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2020-01-28       Impact factor: 1.836

8.  A Looming Spatial Localization Neural Network Inspired by MLG1 Neurons in the Crab Neohelice.

Authors:  Hao Luan; Qinbing Fu; Yicheng Zhang; Mu Hua; Shengyong Chen; Shigang Yue
Journal:  Front Neurosci       Date:  2022-01-21       Impact factor: 4.677

9.  Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons.

Authors:  Baohua Zhou; Zifan Li; Sunnie Kim; John Lafferty; Damon A Clark
Journal:  Elife       Date:  2022-01-13       Impact factor: 8.140

10.  Local motion detectors are required for the computation of expansion flow-fields.

Authors:  Tabea Schilling; Alexander Borst
Journal:  Biol Open       Date:  2015-07-31       Impact factor: 2.422

  10 in total

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