Image segmentation based on oscillatory correlation
Neural Computation
Symmetry Detection Using Global-Locally Coupled Maps
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Pattern recognition via synchronization in phase-locked loop neural networks
IEEE Transactions on Neural Networks
Computing with phase locked loops: choosing gains and delays
IEEE Transactions on Neural Networks
Global and partial synchronism in phase-locked loop networks
IEEE Transactions on Neural Networks
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
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We use networks composed of three phase-locked loops (PLLs), where one of them is the master, for recognizing noisy images. The values of the coupling weights among the PLLs control the noise level which does not affect the successful identification of the input image. Analytical results and numerical tests are presented concerning the scheme performance.