arrow
Return

Phase Oscillatory Network and Visual Pattern Recognition

delete2015-07-01
delete28
PRE
AI
R
Rosangela Follmann *
E
Elbert E. N. Macau
E
Epaminondas Rosa
J
José Roberto Castilho Piqueira
DOI:10.1109/TNNLS.2014.2345572delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We explore a properly interconnected set of Kuramoto type oscillators that results in a new associative-memory network configuration, which includes second-and third-order additional terms in the Fourier expansion of the network's coupling. Investigation of the response of the network to different external stimuli indicates an increase in the network capability for coding and information retrieval. Comparison of the network output with that of an equivalent experiment with subjects, for recognizing perturbed binary patterns, shows comparable results between the two approaches. We also discuss the enhanced storage capacity of the network.
Keywords:
Associative memory
information processing
phase oscillator
synchronization
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Neural Networks and Learning Systems cover
IEEE Transactions on Neural Networks and Learning Systems
IF:
8.9
Papers:
7.5K
Citations:
7.2W

Organization

I
illinois state university
Scholars:
1.6K
Papers: 1.4K
Citations: 0
I
instituto nacional de pesquisas espaciais (inpe)
Scholars:
3.0K
Papers: 2.1K
Citations: 3
U
universidade de sao paulo
Scholars:
10.5W
Papers: 6.7W
Citations: 93
researcher View more organizations