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- W2247106817 abstract "Certain two-terminal devices exhibiting the finger-prints of memristive behavior offer the possibility to mimic the dynamics of biological synapses with a higher level of accuracy as compared to their current electronic realizations. It has been recently shown that neural networks with memristive synapses may exhibit distinct synchronization properties over equivalent diffusively-coupled systems. Applying concepts from the contraction mapping theory, this paper derives analytical conditions for the emergence of synchronization in a memristive neural network of Hindmarsh-Rose neurons. The results reveal the crucial impact the initial memristor state has on the development of synchronous oscillations in the network." @default.
- W2247106817 created "2016-06-24" @default.
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- W2247106817 date "2015-07-01" @default.
- W2247106817 modified "2023-09-26" @default.
- W2247106817 title "Synchronization properties of a bio-inspired neural network" @default.
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- W2247106817 doi "https://doi.org/10.1109/nano.2015.7388681" @default.
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