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 language | English |
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Title of host publication | Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 66-71 |
Number of pages | 6 |
ISBN (Electronic) | 0780305590 |
DOIs | |
State | Published - 1992 |
Event | 1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States Duration: 7 Jun 1992 → 11 Jun 1992 |
Publication series
Name | Proceedings of the International Joint Conference on Neural Networks |
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Volume | 3 |
Conference
Conference | 1992 International Joint Conference on Neural Networks, IJCNN 1992 |
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Country/Territory | United States |
City | Baltimore |
Period | 7/06/92 → 11/06/92 |
Bibliographical note
Publisher Copyright:© 1992 IEEE