Pattern recognition via synchronization in phase-locked loop neural networks

By Frank C. Hoppensteadt, Eugene M. Izhikevich. IEEE Trans. Neural Networks Learn. Syst., 2000

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Synchronization of coupled connected neural networks with delays (2004, background): “” In [20], the authors presented an architecture of coupled neural networks to store and retrieve complex oscillatory patterns as synchronization states.”
Globally Exponential Synchronization and Synchronizability for General Dynamical Networks (2010, background): “In particular, the synchronization phenomena have actively been investigated due to past physics and potential engineering applications [7], [8], including parallel image processing [9], pattern storage and retrieval [ 10 ], secure communication [11], and so on. Hence, the synchronization criteria f”
Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances (2011, background): “, information transmission, pattern recognition, and learning [29], [30].”
Global Synchronization in an Array of Delayed Neural Networks With Hybrid Coupling (2008, background): “In [9], an architecture is presented for the coupled neural networks to store and retrieve complex oscillatory patterns in the synchronization states.”