Literature DB >> 18831602

Photoreceptor processing improves salience facilitating small target detection in cluttered scenes.

Russell S A Brinkworth1, Eng-Leng Mah, Jodi P Gray, David C O'Carroll.   

Abstract

Target detection amidst clutter is a challenging task for both natural and artificial vision, yet one solved at the level of neurons in the 3rd optic ganglion of insects. These neurons are capable of responding to the motion of small objects, even against complex moving backgrounds. While the basic physiology has been investigated, little is known about how these cells are able to reject background motion while robustly responding to such small stimuli. By recording intracellularly from fly photoreceptors stimulated with natural image sequences containing a target viewed against a complex moving background, we show that the process of target detection begins at the earliest stages of vision. The temporal processing by photoreceptors alone, in the absence of any spatial interactions, improved the discrimination of targets (essentially a spatial task) by around 70%. This enhancement of target salience can be explained by elaborate models of photoreceptor temporal non-linear dynamics. The application of the functional principals outlined in this work could be utilized in areas such as robotics and surveillance, medical imaging, or astronomy, anywhere it is necessary to detect a small item from a cluttered surround.

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Year:  2008        PMID: 18831602     DOI: 10.1167/8.11.8

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  8 in total

1.  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

2.  Natural visual cues eliciting predator avoidance in fiddler crabs.

Authors:  Jochen Smolka; Jochen Zeil; Jan M Hemmi
Journal:  Proc Biol Sci       Date:  2011-04-13       Impact factor: 5.349

3.  Refractory sampling links efficiency and costs of sensory encoding to stimulus statistics.

Authors:  Zhuoyi Song; Mikko Juusola
Journal:  J Neurosci       Date:  2014-05-21       Impact factor: 6.167

4.  Microsaccadic sampling of moving image information provides Drosophila hyperacute vision.

Authors:  Mikko Juusola; An Dau; Zhuoyi Song; Narendra Solanki; Diana Rien; David Jaciuch; Sidhartha Anil Dongre; Florence Blanchard; Gonzalo G de Polavieja; Roger C Hardie; Jouni Takalo
Journal:  Elife       Date:  2017-09-05       Impact factor: 8.140

5.  Neuronal encoding of object and distance information: a model simulation study on naturalistic optic flow processing.

Authors:  Patrick Hennig; Martin Egelhaaf
Journal:  Front Neural Circuits       Date:  2012-03-21       Impact factor: 3.492

6.  Robust models for optic flow coding in natural scenes inspired by insect biology.

Authors:  Russell S A Brinkworth; David C O'Carroll
Journal:  PLoS Comput Biol       Date:  2009-11-06       Impact factor: 4.475

7.  Network adaptation improves temporal representation of naturalistic stimuli in Drosophila eye: I dynamics.

Authors:  Lei Zheng; Anton Nikolaev; Trevor J Wardill; Cahir J O'Kane; Gonzalo G de Polavieja; Mikko Juusola
Journal:  PLoS One       Date:  2009-01-30       Impact factor: 3.240

8.  Fly Photoreceptors Encode Phase Congruency.

Authors:  Uwe Friederich; Stephen A Billings; Roger C Hardie; Mikko Juusola; Daniel Coca
Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

  8 in total

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