Chimera states and cluster solutions in Hindmarsh-Rose neural networks with state resetting process.

Yang, Yi; Xiang, Changcheng; Dai, Xiangguang; Zhang, Xianxiu; Qi, Liyuan; Zhu, Bingli; Dong, Tao

Yang, Yi; Xiang, Changcheng; Dai, Xiangguang; Zhang, Xianxiu; Qi, Liyuan; Zhu, Bingli; Dong, Tao.

Afiliação

Yang Y; College of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing, 404100 China.
Xiang C; Key Laboratory of Intelligent Information Processing and Control of Chongqing Municipal Institutions of Higher Education, Chongqing Three Gorges University, Chongqing, 404100 China.
Dai X; School of Mathematics and Statistics, Hubei Minzu University, Enshi, 445000 China.
Zhang X; College of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing, 404100 China.
Qi L; Key Laboratory of Intelligent Information Processing and Control of Chongqing Municipal Institutions of Higher Education, Chongqing Three Gorges University, Chongqing, 404100 China.
Zhu B; College of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing, 404100 China.
Dong T; Key Laboratory of Intelligent Information Processing and Control of Chongqing Municipal Institutions of Higher Education, Chongqing Three Gorges University, Chongqing, 404100 China.

Cogn Neurodyn ; 16(1): 215-228, 2022 Feb.

Article em En | MEDLINE | ID: mdl-35126779

Palavras-chave

Chimera state; Cluster solution; Hindmarsh-Rose; Neural networks; State reset process

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cogn Neurodyn Ano de publicação: 2022 Tipo de documento: Article

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