Literature DB >> 33997912

A model of feedforward, global, and lateral inhibition in the locust visual system predicts responses to looming stimuli.

Erik G N Olson1, Travis K Wiens2, John R Gray3.   

Abstract

Detection of looming obstacles is a vital task for both natural and artificial systems. Locusts possess a visual nervous system with an extensively studied obstacle detection pathway, culminating in the lobula giant movement detector (LGMD) neuron. While numerous models of this system exist, none to date have incorporated recent data on the anatomy and function of feedforward and global inhibitory systems in the input network of the LGMD. Moreover, the possibility that global and lateral inhibition shape the feedforward inhibitory signals to the LGMD has not been investigated. To address these points, a novel model of feedforward inhibitory neurons in the locust optic lobe was developed based on the recent literature. This model also incorporated global and lateral inhibition into the afferent network of these neurons, based on their observed behaviour in existing data and the posited role of these mechanisms in the inputs to the LGMD. Tests with the model showed that it accurately replicates the behaviour of feedforward inhibitory neurons in locusts; the model accurately coded for stimulus angular size in an overall linear fashion, with decreasing response saturation and increasing linearity as stimulus size increased or approach velocity decreased. The model also exhibited only phasic responses to the appearance of a grating, along with sustained movement by it at constant speed. By observing the effects of altering inhibition schemes on these responses, it was determined that global inhibition serves primarily to normalize growing excitation as collision approaches, and keeps coding for subtense angle linear. Lateral inhibition was determined to suppress tonic responses to wide-field stimuli translating at constant speed. Based on these features being shared with characterizations of the LGMD input network, it was hypothesized that the feedforward inhibitory neurons and the LGMD share the same excitatory afferents; this necessitates further investigation.

Keywords:  Feedforward inhibition; Obstacle detection; Visual computation

Year:  2021        PMID: 33997912     DOI: 10.1007/s00422-021-00876-8

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  30 in total

1.  How spike generation mechanisms determine the neuronal response to fluctuating inputs.

Authors:  Nicolas Fourcaud-Trocmé; David Hansel; Carl van Vreeswijk; Nicolas Brunel
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

2.  Multiplicative computation in a visual neuron sensitive to looming.

Authors:  Fabrizio Gabbiani; Holger G Krapp; Christof Koch; Gilles Laurent
Journal:  Nature       Date:  2002-11-21       Impact factor: 49.962

3.  Elementary computation of object approach by wide-field visual neuron.

Authors:  N Hatsopoulos; F Gabbiani; G Laurent
Journal:  Science       Date:  1995-11-10       Impact factor: 47.728

4.  Time-dependent activation of feed-forward inhibition in a looming-sensitive neuron.

Authors:  Fabrizio Gabbiani; Ivan Cohen; Gilles Laurent
Journal:  J Neurophysiol       Date:  2005-05-31       Impact factor: 2.714

5.  Behaviorally related neural plasticity in the arthropod optic lobes.

Authors:  Martín Berón de Astrada; Mercedes Bengochea; Julieta Sztarker; Alejandro Delorenzi; Daniel Tomsic
Journal:  Curr Biol       Date:  2013-07-03       Impact factor: 10.834

6.  Computation of object approach by a wide-field, motion-sensitive neuron.

Authors:  F Gabbiani; H G Krapp; G Laurent
Journal:  J Neurosci       Date:  1999-02-01       Impact factor: 6.167

7.  M current regulates firing mode and spike reliability in a collision-detecting neuron.

Authors:  Richard B Dewell; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2018-07-25       Impact factor: 2.714

8.  Biophysics of object segmentation in a collision-detecting neuron.

Authors:  Richard Burkett Dewell; Fabrizio Gabbiani
Journal:  Elife       Date:  2018-04-18       Impact factor: 8.140

9.  Non-linear neuronal responses as an emergent property of afferent networks: a case study of the locust lobula giant movement detector.

Authors:  Sergi Bermúdez i Badia; Ulysses Bernardet; Paul F M J Verschure
Journal:  PLoS Comput Biol       Date:  2010-03-12       Impact factor: 4.475

10.  Model of transient oscillatory synchronization in the locust antennal lobe.

Authors:  M Bazhenov; M Stopfer; M Rabinovich; R Huerta; H D Abarbanel; T J Sejnowski; G Laurent
Journal:  Neuron       Date:  2001-05       Impact factor: 17.173

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  1 in total

1.  Role of Lateral Inhibition on Visual Number Sense.

Authors:  Yiwei Zhou; Huanwen Chen; Yijun Wang
Journal:  Front Comput Neurosci       Date:  2022-06-20       Impact factor: 3.387

  1 in total

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