Image Segmentation by a network of oscillators with memory

H. Sompolinsky, M. Tsodyks

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

Abstract

We propose a model of coupled phase oscillators with noise that performs segmentation of objects using a set of stored images each consisting of figures and a background. The amplitudes of the oscillators encode the spatial and featural distribution of the external stimulus. In the learning stage the couplings between the phases are modified in a Hebblike manner. We show that an external stimulus whose local features resemble those of one or several of the stored figures causes a selective phase coherence that retrieves the stored pattern of segmentation.

Original languageEnglish
Title of host publicationProceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages66-71
Number of pages6
ISBN (Electronic)0780305590
DOIs
StatePublished - 1992
Event1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States
Duration: 7 Jun 199211 Jun 1992

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume3

Conference

Conference1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/TerritoryUnited States
CityBaltimore
Period7/06/9211/06/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE

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