Nonlinear Dyn https://doi.org/10.1007/s11071-018-4393-9 ORIGINAL PAPER Chimera states and synchronization behavior in multilayer memristive neural networks Fei Xu · Jiqian Zhang · Meng Jin · Shoufang Huang · Tingting Fang Received: 26 February 2018 / Accepted: 13 May 2018 © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract To study the effect of electromagnetic only the spatiotemporal consistency of the CS in each induction on the spatiotemporal dynamic behavior of layer neural networks is observed, but also the mem- neural networks, in this paper, we have mainly studied ductance of all memristive synapses is completely syn- both the synchronization behavior and the evolution chronized. Our results suggest that the electromagnetic of chimera states (CS) in coupled neural networks. To induction may play an important role in regulating the do this, a multilayer memristive neural network was dynamic behavior of neural networks, and the intro- constructed by selecting the Hindmarsh–Rose neurons duction of memristive synapse into the biological neu- as the network nodes, and the effect of electromag- ral network will provide useful clues for revealing the netic induction is introduced by using the cubic ﬂux- memory behavior of the neural system in human brain. controlled memristive model as
Nonlinear Dynamics – Springer Journals
Published: Jun 5, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud