Detection of depth in binocular visual systems using Kuramoto models

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 2006 American Control Conference
Pages2268-2273
Number of pages6
StatePublished - 2006
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: Jun 14 2006Jun 16 2006

Publication series

NameProceedings of the American Control Conference
Volume2006
ISSN (Print)0743-1619

Conference

Conference2006 American Control Conference
CountryUnited States
CityMinneapolis, MN
Period06/14/0606/16/06

Keywords

  • Kuramoto model
  • Modelling
  • Nonlinear systems
  • Sparse representation

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