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Title: Pinning synchronization of delayed neural networks. Author: Zhou J, Wu X, Yu W, Small M, Lu JA. Journal: Chaos; 2008 Dec; 18(4):043111. PubMed ID: 19123621. Abstract: This paper investigates adaptive pinning synchronization of a general weighted neural network with coupling delay. Unlike recent works on pinning synchronization which proposed the possibility that synchronization can be reached by controlling only a small fraction of neurons, this paper aims to answer the following question: Which neurons should be controlled to synchronize a neural network? By using Schur complement and Lyapunov function methods, it is proved that under a mild topology-based condition, some simple adaptive feedback controllers are sufficient to globally synchronize a general delayed neural network. Moreover, for a concrete neurobiological network consisting of identical Hindmarsh-Rose neurons, a specific pinning control technique is introduced and some numerical examples are presented to verify our theoretical results.[Abstract] [Full Text] [Related] [New Search]