Literature DB >> 14573994

Input and output characteristics of collision avoidance behavior in the frog Rana catesbeiana.

Keisuke Yamamoto1, Maki Nakata, Hideki Nakagawa.   

Abstract

Input and output characteristics of collision avoidance behavior in the bullfrog were examined using computer graphics to model a looming stimulus. The means of time-to-collision of avoidance behavior in response to looming visual stimuli approaching at a velocity of either 2 or 4 m/s were significantly different (t141) = 7.93, p < 0.05). On the other hand, mean threshold sizes of visual stimuli triggering avoidance behavior were not significantly different in either case (t201) = 0.54, p > 0.05). Furthermore, we showed that the mean threshold sizes changed in a predictable manner depending on the distance between the displayed stimulus and the animal. These results strongly suggest that the frog displays collision avoidance behavior when the visual angle of a looming object reaches a constant value (about 20 degrees ). The mean maximum velocities of the avoidance behavior in response to the two visual stimuli were not significantly different (t198) = 1.44, p > 0.05). However, we found that the frog could control the velocity depending on the location of an approaching object in its dorsal visual field. Finally, we demonstrated that habituation significantly affected the mean probability of avoidance behavior occurrence (ANOVA, at 2 m/s, F(2,15) = 14.25; at 4 m/s, F(2,15) = 13.35, p < 0.05), but not those of time-to-collision, threshold size and maximum velocity (ANOVA, at 2 m/s, F(2,13) = 0.07, F(2,14) = 0.46 and F(2,14) = 0.70, respectively; at 4 m/s, F(2,15) = 0.50, F(2,14) = 0.68 and F(2,14) = 0.41, respectively, p > 0.05). Thus, frog collision avoidance behavior seems to have an all or none-like property. Copyright 2003 S. Karger AG, Basel

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Mesh:

Year:  2003        PMID: 14573994     DOI: 10.1159/000073272

Source DB:  PubMed          Journal:  Brain Behav Evol        ISSN: 0006-8977            Impact factor:   1.808


  16 in total

1.  A pair of motion-sensitive neurons in the locust encode approaches of a looming object.

Authors:  John R Gray; Eric Blincow; R Meldrum Robertson
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-09-09       Impact factor: 1.836

2.  Relationship between the phases of sensory and motor activity during a looming-evoked multistage escape behavior.

Authors:  Haleh Fotowat; Fabrizio Gabbiani
Journal:  J Neurosci       Date:  2007-09-12       Impact factor: 6.167

3.  Rapid innate defensive responses of mice to looming visual stimuli.

Authors:  Melis Yilmaz; Markus Meister
Journal:  Curr Biol       Date:  2013-10-10       Impact factor: 10.834

4.  Responses of a pair of flying locusts to lateral looming visual stimuli.

Authors:  Indika Benaragama; John R Gray
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2014-05-10       Impact factor: 1.836

5.  Multiplexing of motor information in the discharge of a collision detecting neuron during escape behaviors.

Authors:  Haleh Fotowat; Reid R Harrison; Fabrizio Gabbiani
Journal:  Neuron       Date:  2011-01-13       Impact factor: 17.173

6.  Response properties and receptive field organization of collision-sensitive neurons in the optic tectum of bullfrog, Rana catesbeiana.

Authors:  Hong-Jian Kang; Xiao-Hong Li
Journal:  Neurosci Bull       Date:  2010-08       Impact factor: 5.203

7.  Spatiotemporal receptive field properties of a looming-sensitive neuron in solitarious and gregarious phases of the desert locust.

Authors:  Stephen M Rogers; George W J Harston; Fleur Kilburn-Toppin; Thomas Matheson; Malcolm Burrows; Fabrizio Gabbiani; Holger G Krapp
Journal:  J Neurophysiol       Date:  2009-12-02       Impact factor: 2.714

8.  A novel neuronal pathway for visually guided escape in Drosophila melanogaster.

Authors:  Haleh Fotowat; Amir Fayyazuddin; Hugo J Bellen; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2009-05-27       Impact factor: 2.714

9.  Visual Threat Assessment and Reticulospinal Encoding of Calibrated Responses in Larval Zebrafish.

Authors:  Kiran Bhattacharyya; David L McLean; Malcolm A MacIver
Journal:  Curr Biol       Date:  2017-09-07       Impact factor: 10.834

10.  Spike frequency adaptation mediates looming stimulus selectivity in a collision-detecting neuron.

Authors:  Simon Peron; Fabrizio Gabbiani
Journal:  Nat Neurosci       Date:  2009-02-08       Impact factor: 24.884

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