Literature DB >> 19541374

Feature detection and the hypercomplex property in insects.

Karin Nordström1, David C O'Carroll.   

Abstract

Discerning a target amongst visual 'clutter' is a complicated task that has been elegantly solved by flying insects, as evidenced by their mid-air interactions with conspecifics and prey. The neurophysiology of small-target motion detectors (STMDs) underlying these complex behaviors has recently been described and suggests that insects use mechanisms similar to those of hypercomplex cells of the mammalian visual cortex to achieve target-specific tuning. Cortical hypercomplex cells are end-stopped, which means that they respond optimally to small moving targets, with responses to extended bars attenuated. We review not only the underlying mechanisms involved in this tuning but also how recently proposed models provide a possible explanation for another remarkable property of these neurons - their ability to respond robustly to the motion of targets even against moving backgrounds.

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Year:  2009        PMID: 19541374     DOI: 10.1016/j.tins.2009.03.004

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  20 in total

1.  Joint control of Drosophila male courtship behavior by motion cues and activation of male-specific P1 neurons.

Authors:  Yufeng Pan; Geoffrey W Meissner; Bruce S Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

2.  Image statistics of the environment surrounding freely behaving hoverflies.

Authors:  Olga Dyakova; Martin M Müller; Martin Egelhaaf; Karin Nordström
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2019-04-01       Impact factor: 1.836

3.  Contrast sensitivity and the detection of moving patterns and features.

Authors:  David C O'Carroll; Steven D Wiederman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-01-06       Impact factor: 6.237

4.  Correlation between OFF and ON channels underlies dark target selectivity in an insect visual system.

Authors:  Steven D Wiederman; Patrick A Shoemaker; David C O'Carroll
Journal:  J Neurosci       Date:  2013-08-07       Impact factor: 6.167

5.  Local and large-range inhibition in feature detection.

Authors:  Douglas M Bolzon; Karin Nordström; David C O'Carroll
Journal:  J Neurosci       Date:  2009-11-11       Impact factor: 6.167

6.  Properties of neuronal facilitation that improve target tracking in natural pursuit simulations.

Authors:  Zahra M Bagheri; Steven D Wiederman; Benjamin S Cazzolato; Steven Grainger; David C O'Carroll
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

7.  Robust prey detection in a small nervous system.

Authors:  Karin Nordström
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-24       Impact factor: 11.205

8.  Distinct representation and distribution of visual information by specific cell types in mouse superficial superior colliculus.

Authors:  Samuel D Gale; Gabe J Murphy
Journal:  J Neurosci       Date:  2014-10-01       Impact factor: 6.167

9.  Defining the computational structure of the motion detector in Drosophila.

Authors:  Damon A Clark; Limor Bursztyn; Mark A Horowitz; Mark J Schnitzer; Thomas R Clandinin
Journal:  Neuron       Date:  2011-06-23       Impact factor: 17.173

10.  Facilitation of dragonfly target-detecting neurons by slow moving features on continuous paths.

Authors:  James R Dunbier; Steven D Wiederman; Patrick A Shoemaker; David C O'Carroll
Journal:  Front Neural Circuits       Date:  2012-10-29       Impact factor: 3.492

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