Detection in bio-inspired visual systems using networks of oscillators

Wenxue Wang, Bijoy K. Ghosh

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

Abstract

Animals routinely rely on their eyes to localize fixed and moving targets especially with the goal of either avoiding or capturing them. Detection of position of targets in space is an important problem in such a localization process for the motor control circuit to actuate a successful movement. The purpose of this paper is to sketch a binocular visual system that includes image capturing, retinal projection, sparse representation and data fusion, multi-neural encoding in the cortex down to detection of depth of objects from activity waves using nonlinear dynamics of an oscillatory network. The general strategies from visual circuitry, some of which may not be employed by the animal, could perhaps be employed in building machines with multiple sensors.

Original languageEnglish
Title of host publicationProceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6714-6719
Number of pages6
ISBN (Print)1424401712, 9781424401710
DOIs
StatePublished - 2006
Event45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, United States
Duration: Dec 13 2006Dec 15 2006

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Conference

Conference45th IEEE Conference on Decision and Control 2006, CDC
Country/TerritoryUnited States
CitySan Diego, CA
Period12/13/0612/15/06

Keywords

  • Kuramoto model
  • Modelling
  • Nonlinear systems
  • Sparse representation

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