Bio-inspired sensor design with an array of coupled lasers

Wenxue Wang, Bijoy K. Ghosh

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

4 Scopus citations

Abstract

The basic idea of the paper is to use neurocomputational features of weakly connected neural networks of oscillators in pattern recognition. Stable synchronized states of the neural networks where artificial neurons are lasers with equal natural frequencies are prespecified with connection matrices. A set of memorized patterns are associated with the prescribed equilibria in phase relations with which neurons oscillate. Any pattern to be recognized in the neighborhood of the memorized patterns will reach the corresponding stable synchronized state. Phase locking takes part in the recognition mechanism. Kuramoto's model is used in designing equilibria of laser networks.

Original languageEnglish
Title of host publicationProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Pages239-244
Number of pages6
DOIs
StatePublished - 2005
Event44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 - Seville, Spain
Duration: Dec 12 2005Dec 15 2005

Publication series

NameProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Volume2005

Conference

Conference44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Country/TerritorySpain
CitySeville
Period12/12/0512/15/05

Keywords

  • Laser
  • Neural network
  • Oscillator
  • Pattern recognition

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