Literature DB >> 16262670

Tectal neurons signal impending collision of looming objects in the pigeon.

Le-Qing Wu1, Yu-Qiong Niu, Jin Yang, Shu-Rong Wang.   

Abstract

Although the optic tectum in non-mammals and its mammalian homolog, the superior colliculus, are involved in avoidance behaviors, whether and how tectal neurons respond to an object approaching on a collision course towards the animal remain unclear. Here we show by single unit recording that there exist three classes of looming-sensitive neurons in the pigeon tectal layer 13, which sends looming information to the nucleus rotundus or to the tectopontine system. The response onset time of tau cells is approximately constant whereas that for rho and eta cells depends on the square root of the diameter/velocity ratio of objects looming towards the animal, the cardioacceleration of which is also linearly related to the square root of this ratio. The receptive field of tectal cells is composed of an excitatory center and an inhibitory periphery, and this periphery does not inhibit responses to looming stimuli. These results suggest that three classes of tectal neurons are specified for detecting an object approaching on a collision course towards the animal, and that rho and eta cells may signal early warning of impending collision whereas tau cells initiate avoidance responses at a constant time before collision through the tectopontine system.

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Year:  2005        PMID: 16262670     DOI: 10.1111/j.1460-9568.2005.04397.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  25 in total

1.  Logarithmic compression of sensory signals within the dendritic tree of a collision-sensitive neuron.

Authors:  Peter W Jones; Fabrizio Gabbiani
Journal:  J Neurosci       Date:  2012-04-04       Impact factor: 6.167

2.  Visual response properties of neurons in four areas of the avian pallium.

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Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2016-02-11       Impact factor: 1.836

3.  Neural processing of imminent collision in humans.

Authors:  Jac Billington; Richard M Wilkie; David T Field; John P Wann
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4.  Response properties and receptive field organization of collision-sensitive neurons in the optic tectum of bullfrog, Rana catesbeiana.

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Journal:  Neurosci Bull       Date:  2010-08       Impact factor: 5.203

5.  Direct intertectal inputs are an integral component of the bilateral sensorimotor circuit for behavior in Xenopus tadpoles.

Authors:  Abigail C Gambrill; Regina L Faulkner; Hollis T Cline
Journal:  J Neurophysiol       Date:  2018-02-14       Impact factor: 2.714

6.  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

7.  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

8.  Ultrastructural and optogenetic dissection of V1 corticotectal terminal synaptic properties.

Authors:  S P Masterson; N Zhou; B K Akers; W Dang; M E Bickford
Journal:  J Comp Neurol       Date:  2018-12-04       Impact factor: 3.215

9.  Motion processing with wide-field neurons in the retino-tecto-rotundal pathway.

Authors:  Babette Dellen; Ralf Wessel; John W Clark; Florentin Wörgötter
Journal:  J Comput Neurosci       Date:  2009-10-01       Impact factor: 1.621

10.  Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection.

Authors:  Gustav Markkula; Zeynep Uludağ; Richard McGilchrist Wilkie; Jac Billington
Journal:  PLoS Comput Biol       Date:  2021-07-15       Impact factor: 4.475

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