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Bifurcation Chaos"],"published-print":{"date-parts":[[2023,6,15]]},"abstract":"<jats:p> This paper proposes a simple ring memristive neural network (MNN) with self-connection, bidirectional connection and a single memristive synapse. Compared with some existing MNNs, the most distinctive feature of the proposed MNN is that it can generate heterogeneous coexisting attractors and large-scale amplitude control. Various kinds of heterogeneous coexisting attractors are numerically found in the MNN, including chaos with a stable point, chaos with a limit cycle, a limit cycle with a stable point. By increasing the parameter values, the chaotic variables of the MNN can be accordingly increased and their corresponding areas are extremely wide, yielding parameter-dependent large-scale amplitude control. A circuit implementation platform is established and the obtained results demonstrate its validity and reliability. <\/jats:p>","DOI":"10.1142\/s0218127423500803","type":"journal-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T09:02:56Z","timestamp":1686906176000},"source":"Crossref","is-referenced-by-count":4,"title":["Heterogeneous Coexisting Attractors and Large-Scale Amplitude Control in a Simple Memristive Neural Network"],"prefix":"10.1142","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7703-9793","authenticated-orcid":false,"given":"Qiang","family":"Lai","sequence":"first","affiliation":[{"name":"School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, P. 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