Detection of moving targets in the visual pathways of turtles using computational models

Neshadha Perera, Ronald C. Anderson, Bijoy K. Ghosh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Microcircuits in the visual cortex of freshwater turtles have been revisited. These consist of a model of the retina, the lateral geniculate nucleus (LGN) and the visual cortex. In this paper, we present, via simulation how visual input on the retina is subsequently processed by the LGN leading up to an input to the cortex that generates a wave of activity. To gain access to the information content of the cortical wave, we analyze the extent to which these waves are able to discriminate the motion direction of the targets. The results are displayed in terms of root mean square error. We also show, via simulation, the role of the geniculate nucleus in terms of noise suppression. In particular, we show that, without the geniculate complex, retinal noise is strong enough to produce cortical activities without any form of target inputs. For realistic motion discrimination, it is imperative that noise in the geniculate is suppressed.

Original languageEnglish
Title of host publication2014 7th International Conference on Information and Automation for Sustainability
Subtitle of host publication"Sharpening the Future with Sustainable Technology", ICIAfS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479945986
DOIs
StatePublished - Mar 26 2014
Event2014 7th International Conference on Information and Automation for Sustainability, ICIAfS 2014 - Colombo, Sri Lanka
Duration: Dec 22 2014Dec 24 2014

Publication series

Name2014 7th International Conference on Information and Automation for Sustainability: "Sharpening the Future with Sustainable Technology", ICIAfS 2014

Conference

Conference2014 7th International Conference on Information and Automation for Sustainability, ICIAfS 2014
CountrySri Lanka
CityColombo
Period12/22/1412/24/14

Keywords

  • Computational Neuroscience
  • LGN
  • Motion
  • Retina
  • Target
  • Turtle
  • Visual Cortex

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