{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:02:40Z","timestamp":1781622160665,"version":"3.54.5"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T00:00:00Z","timestamp":1713916800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T00:00:00Z","timestamp":1713916800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s00521-024-09778-9","type":"journal-article","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T14:02:25Z","timestamp":1713967345000},"page":"13171-13186","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Quasisynchronization of reaction-diffusion neural networks with time-varying delays by static\/dynamic event-triggered control and its application to secure communication"],"prefix":"10.1007","volume":"36","author":[{"given":"Yanyi","family":"Cao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nian","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanfu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,4,24]]},"reference":[{"issue":"4764","key":"9778_CR1","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1126\/science.3755256","volume":"233","author":"JJ Hopfield","year":"1986","unstructured":"Hopfield JJ, Tank DW (1986) Computing with neural circuits: a model. Science 233(4764):625\u2013633","journal-title":"Science"},{"issue":"1","key":"9778_CR2","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1103\/PhysRevA.39.347","volume":"39","author":"C Marcus","year":"1989","unstructured":"Marcus C, Westervelt R (1989) Stability of analog neural networks with delay. Phys Rev A 39(1):347","journal-title":"Phys Rev A"},{"key":"9778_CR3","doi-asserted-by":"crossref","DOI":"10.1016\/j.nahs.2022.101200","volume":"45","author":"N Zhang","year":"2022","unstructured":"Zhang N, Wang X, Li W (2022) Stability for multi-linked stochastic delayed complex networks with stochastic hybrid impulses by Dupire It\u00f4\u2019s formula. Nonlinear Anal Hybrid Syst 45:101200","journal-title":"Nonlinear Anal Hybrid Syst"},{"issue":"3","key":"9778_CR4","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.1007\/s11071-019-05408-5","volume":"99","author":"H Lin","year":"2020","unstructured":"Lin H, Wang C, Tan Y (2020) Hidden extreme multistability with hyperchaos and transient chaos in a hopfield neural network affected by electromagnetic radiation. Nonlinear Dyn 99(3):2369\u20132386","journal-title":"Nonlinear Dyn"},{"key":"9778_CR5","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109630","volume":"254","author":"R Manivannan","year":"2022","unstructured":"Manivannan R, Cao Y, Chong KT (2022) Unified dissipativity state estimation for delayed generalized impulsive neural networks with leakage delay effects. Knowl Based Syst 254:109630","journal-title":"Knowl Based Syst"},{"issue":"10","key":"9778_CR6","doi-asserted-by":"crossref","first-page":"1936","DOI":"10.1109\/TNNLS.2013.2296514","volume":"25","author":"TH Lee","year":"2014","unstructured":"Lee TH, Park M-J, Park JH, Kwon O-M, Lee S-M (2014) Extended dissipative analysis for neural networks with time-varying delays. IEEE Trans Neural Netw Learn Syst 25(10):1936\u20131941","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"5","key":"9778_CR7","doi-asserted-by":"crossref","first-page":"920","DOI":"10.1109\/TCSI.2005.846211","volume":"52","author":"J Cao","year":"2005","unstructured":"Cao J, Wang J (2005) Global exponential stability and periodicity of recurrent neural networks with time delays. IEEE Trans Circuits Syst I Regular Pap 52(5):920\u2013931","journal-title":"IEEE Trans Circuits Syst I Regular Pap"},{"issue":"9","key":"9778_CR8","doi-asserted-by":"crossref","first-page":"2022","DOI":"10.1109\/TFUZZ.2019.2930032","volume":"28","author":"L Wang","year":"2020","unstructured":"Wang L, He H, Zeng Z (2020) Global synchronization of fuzzy memristive neural networks with discrete and distributed delays. IEEE Trans Fuzzy Syst 28(9):2022\u20132034","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"9778_CR9","doi-asserted-by":"crossref","unstructured":"Ping J, Zhu S, Liu X (2022) Finite\/fixed-time synchronization of memristive neural networks via event-triggered control. Knowl Based Syst, 110013","DOI":"10.1016\/j.knosys.2022.110013"},{"issue":"15","key":"9778_CR10","doi-asserted-by":"crossref","first-page":"12789","DOI":"10.1007\/s00521-022-07123-6","volume":"34","author":"D Tong","year":"2022","unstructured":"Tong D, Liu X, Chen Q, Zhou W, Liao K (2022) Observer-based adaptive finite-time prescribed performance NN control for nonstrict-feedback nonlinear systems. Neural Comput Appl 34(15):12789\u201312805","journal-title":"Neural Comput Appl"},{"key":"9778_CR11","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.nahs.2014.10.001","volume":"16","author":"S Zhang","year":"2015","unstructured":"Zhang S, Yu Y, Wang H (2015) Mittag-leffler stability of fractional-order hopfield neural networks. Nonlinear Anal Hybrid Syst 16:104\u2013121","journal-title":"Nonlinear Anal Hybrid Syst"},{"key":"9778_CR12","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.neunet.2019.01.017","volume":"113","author":"N Ozcan","year":"2019","unstructured":"Ozcan N (2019) Stability analysis of cohen-grossberg neural networks of neutral-type: multiple delays case. Neural Netw 113:20\u201327","journal-title":"Neural Netw"},{"key":"9778_CR13","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.ins.2019.04.007","volume":"491","author":"P Mani","year":"2019","unstructured":"Mani P, Rajan R, Shanmugam L, Joo YH (2019) Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption. Inf Sci 491:74\u201389","journal-title":"Inf Sci"},{"key":"9778_CR14","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.neunet.2019.11.008","volume":"123","author":"Y Cao","year":"2020","unstructured":"Cao Y, Cao Y, Guo Z, Huang T, Wen S (2020) Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms. Neural Netw 123:70\u201381","journal-title":"Neural Netw"},{"issue":"23","key":"9778_CR15","doi-asserted-by":"crossref","first-page":"16019","DOI":"10.1007\/s00521-021-06214-0","volume":"33","author":"Y Xu","year":"2021","unstructured":"Xu Y, Sun F, Li W (2021) Exponential synchronization of fractional-order multilayer coupled neural networks with reaction-diffusion terms via intermittent control. Neural Comput Appl 33(23):16019\u201316032","journal-title":"Neural Comput Appl"},{"issue":"5","key":"9778_CR16","first-page":"1","volume":"66","author":"X Hu","year":"2023","unstructured":"Hu X, Wang L, Zhang C-K, Wan X, He Y (2023) Fixed-time stabilization of discontinuous spatiotemporal neural networks with time-varying coefficients via aperiodically switching control. Sci China Inf Sci 66(5):1\u201314","journal-title":"Sci China Inf Sci"},{"key":"9778_CR17","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/s00521-016-2697-6","volume":"30","author":"S Tyagi","year":"2018","unstructured":"Tyagi S, Abbas S, Kirane M (2018) Global asymptotic and exponential synchronization of ring neural network with reaction-diffusion term and unbounded delay. Neural Comput Appl 30:487\u2013501","journal-title":"Neural Comput Appl"},{"issue":"21","key":"9778_CR18","doi-asserted-by":"crossref","first-page":"18561","DOI":"10.1007\/s00521-022-07457-1","volume":"34","author":"X-Y Li","year":"2022","unstructured":"Li X-Y, Fan Q-L, Liu X-Z, Wu K-N (2022) Boundary intermittent stabilization for delay reaction-diffusion cellular neural networks. Neural Comput Appl 34(21):18561\u201318577","journal-title":"Neural Comput Appl"},{"key":"9778_CR19","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1007\/s00521-015-2079-5","volume":"28","author":"R Rakkiyappan","year":"2017","unstructured":"Rakkiyappan R, Dharani S (2017) Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with markovian jumping and mixed delays using multiple integral approach. Neural Comput Appl 28:449\u2013462","journal-title":"Neural Comput Appl"},{"key":"9778_CR20","volume":"233","author":"Y Cao","year":"2021","unstructured":"Cao Y, Jiang W, Wang J (2021) Anti-synchronization of delayed memristive neural networks with leakage term and reaction-diffusion terms. Knowl Based Syst 233:107539","journal-title":"Knowl Based Syst"},{"key":"9778_CR21","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.automatica.2015.03.027","volume":"56","author":"J-L Wang","year":"2015","unstructured":"Wang J-L, Wu H-N, Huang T (2015) Passivity-based synchronization of a class of complex dynamical networks with time-varying delay. Automatica 56:105\u2013112","journal-title":"Automatica"},{"issue":"3","key":"9778_CR22","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.physrep.2008.09.002","volume":"469","author":"A Arenas","year":"2008","unstructured":"Arenas A, D\u00edaz-Guilera A, Kurths J, Moreno Y, Zhou C (2008) Synchronization in complex networks. Phys Rep 469(3):93\u2013153","journal-title":"Phys Rep"},{"issue":"4","key":"9778_CR23","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1038\/s41593-019-0353-z","volume":"22","author":"MF Assaneo","year":"2019","unstructured":"Assaneo MF, Ripoll\u00e9s P, Orpella J, Lin WM, Diego-Balaguer R, Poeppel D (2019) Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning. Nat Neurosci 22(4):627\u2013632","journal-title":"Nat Neurosci"},{"issue":"2","key":"9778_CR24","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1257\/000282803321946804","volume":"93","author":"MA Kose","year":"2003","unstructured":"Kose MA, Prasad ES, Terrones ME (2003) How does globalization affect the synchronization of business cycles? Am Econ Rev 93(2):57\u201362","journal-title":"Am Econ Rev"},{"issue":"6","key":"9778_CR25","first-page":"2176","volume":"70","author":"D Tong","year":"2023","unstructured":"Tong D, Ma B, Chen Q, Wei Y, Shi P (2023) Finite-time synchronization and energy consumption prediction for multilayer fractional-order networks. IEEE Trans Circuits Syst II Exp Briefs 70(6):2176\u20132180","journal-title":"IEEE Trans Circuits Syst II Exp Briefs"},{"issue":"5","key":"9778_CR26","doi-asserted-by":"crossref","first-page":"2384","DOI":"10.1109\/TCYB.2020.2996619","volume":"51","author":"R Zhang","year":"2021","unstructured":"Zhang R, Zeng D, Park JH, Lam H-K, Xie X (2021) Fuzzy sampled-data control for synchronization of t-s fuzzy reaction-diffusion neural networks with additive time-varying delays. IEEE Trans Cybernet 51(5):2384\u20132397","journal-title":"IEEE Trans Cybernet"},{"issue":"2","key":"9778_CR27","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1109\/TNSE.2021.3137255","volume":"9","author":"Z Cao","year":"2022","unstructured":"Cao Z, Li C, He Z, Zhang X, You L (2022) Synchronization of coupled stochastic reaction-diffusion neural networks with multiple weights and delays via pinning impulsive control. IEEE Trans Netw Sci Eng 9(2):820\u2013833","journal-title":"IEEE Trans Netw Sci Eng"},{"issue":"8","key":"9778_CR28","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1109\/TSMC.2015.2476491","volume":"46","author":"J-L Wang","year":"2016","unstructured":"Wang J-L, Wu H-N, Huang T, Ren S-Y, Wu J (2016) Pinning control for synchronization of coupled reaction-diffusion neural networks with directed topologies. IEEE Trans Syst Man Cybernet Syst 46(8):1109\u20131120","journal-title":"IEEE Trans Syst Man Cybernet Syst"},{"key":"9778_CR29","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.neunet.2019.12.025","volume":"124","author":"H Zhang","year":"2020","unstructured":"Zhang H, Ding Z, Zeng Z (2020) Adaptive tracking synchronization for coupled reaction-diffusion neural networks with parameter mismatches. Neural Netw 124:146\u2013157","journal-title":"Neural Netw"},{"issue":"1","key":"9778_CR30","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1109\/TCSI.2020.3025681","volume":"68","author":"X Song","year":"2021","unstructured":"Song X, Man J, Song S, Ahn CK (2021) Finite\/fixed-time anti-synchronization of inconsistent markovian quaternion-valued memristive neural networks with reaction-diffusion terms. IEEE Trans Circuits Syst I Regular Pap 68(1):363\u2013375","journal-title":"IEEE Trans Circuits Syst I Regular Pap"},{"issue":"3","key":"9778_CR31","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1109\/TCYB.2018.2877410","volume":"50","author":"L Shanmugam","year":"2020","unstructured":"Shanmugam L, Mani P, Rajan R, Joo YH (2020) Adaptive synchronization of reaction-diffusion neural networks and its application to secure communication. IEEE Trans Cybernet 50(3):911\u2013922","journal-title":"IEEE Trans Cybernet"},{"key":"9778_CR32","volume":"427","author":"W Chen","year":"2022","unstructured":"Chen W, Yu Y, Hai X, Ren G (2022) Adaptive quasi-synchronization control of heterogeneous fractional-order coupled neural networks with reaction-diffusion. Appl Math Comput 427:127145","journal-title":"Appl Math Comput"},{"issue":"12","key":"9778_CR33","doi-asserted-by":"crossref","first-page":"7833","DOI":"10.1109\/TSMC.2022.3166554","volume":"52","author":"R Zhang","year":"2022","unstructured":"Zhang R, Wang H, Park JH, Lam H-K, He P (2022) Quasisynchronization of reaction-diffusion neural networks under deception attacks. IEEE Trans Syst Man Cybernet Syst 52(12):7833\u20137844","journal-title":"IEEE Trans Syst Man Cybernet Syst"},{"issue":"4","key":"9778_CR34","doi-asserted-by":"crossref","first-page":"2482","DOI":"10.1016\/j.jfranklin.2021.01.023","volume":"358","author":"X Song","year":"2021","unstructured":"Song X, Li X, Song S, Zhang Y, Ning Z (2021) Quasi-synchronization of coupled neural networks with reaction-diffusion terms driven by fractional brownian motion. J Franklin Inst 358(4):2482\u20132499","journal-title":"J Franklin Inst"},{"key":"9778_CR35","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.neunet.2019.12.026","volume":"123","author":"B Lu","year":"2020","unstructured":"Lu B, Jiang H, Hu C, Abdurahman A (2020) Spacial sampled-data control for h$$\\infty$$ output synchronization of directed coupled reaction-diffusion neural networks with mixed delays. Neural Netw 123:429\u2013440","journal-title":"Neural Netw"},{"key":"9778_CR36","volume":"254","author":"Y Cao","year":"2022","unstructured":"Cao Y, Liu N, Zhang C, Zhang T, Luo Z-F (2022) Synchronization of multiple reaction-diffusion memristive neural networks with known or unknown parameters and switching topologies. Knowl Based Syst 254:109595","journal-title":"Knowl Based Syst"},{"issue":"6","key":"9778_CR37","doi-asserted-by":"crossref","first-page":"2092","DOI":"10.1109\/TNNLS.2019.2928039","volume":"31","author":"D Zeng","year":"2020","unstructured":"Zeng D, Zhang R, Park JH, Pu Z, Liu Y (2020) Pinning synchronization of directed coupled reaction-diffusion neural networks with sampled-data communications. IEEE Trans Neural Netw Learn Syst 31(6):2092\u20132103","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"1","key":"9778_CR38","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1002\/mma.7777","volume":"45","author":"Y Liu","year":"2022","unstructured":"Liu Y, Lin Y (2022) Synchronization of quaternion-valued coupled systems with time-varying coupling via event-triggered impulsive control. Math Methods Appl Sci 45(1):324\u2013340","journal-title":"Math Methods Appl Sci"},{"key":"9778_CR39","doi-asserted-by":"publisher","unstructured":"Wang X, Feng G (2023) Dynamic Event-Triggered $$\\cal{H}_{\\infty }$$ Filtering for NCSs under multiple cyber-attacks. IEEE Trans Syst Man Cybernet Syst. https:\/\/doi.org\/10.1109\/TSMC.2023.3256970","DOI":"10.1109\/TSMC.2023.3256970"},{"issue":"1","key":"9778_CR40","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1109\/TCYB.2020.2983481","volume":"51","author":"S Wang","year":"2021","unstructured":"Wang S, Cao Y, Guo Z, Yan Z, Wen S, Huang T (2021) Periodic event-triggered synchronization of multiple memristive neural networks with switching topologies and parameter mismatch. IEEE Trans Cybernet 51(1):427\u2013437","journal-title":"IEEE Trans Cybernet"},{"issue":"11","key":"9778_CR41","doi-asserted-by":"crossref","first-page":"6824","DOI":"10.1016\/j.jfranklin.2020.05.004","volume":"357","author":"R Vadivel","year":"2020","unstructured":"Vadivel R, Ali MS, Joo YH (2020) Drive-response synchronization of uncertain markov jump generalized neural networks with interval time varying delays via decentralized event-triggered communication scheme. J Franklin Inst 357(11):6824\u20136857","journal-title":"J Franklin Inst"},{"issue":"6","key":"9778_CR42","doi-asserted-by":"crossref","first-page":"2297","DOI":"10.1007\/s12555-020-0348-2","volume":"19","author":"Y Jin","year":"2021","unstructured":"Jin Y, Qi W, Zong G (2021) Finite-time synchronization of delayed semi-markov neural networks with dynamic event-triggered scheme. Int J Control Autom Syst 19(6):2297\u20132308","journal-title":"Int J Control Autom Syst"},{"key":"9778_CR43","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.neunet.2019.08.011","volume":"119","author":"Y Cao","year":"2019","unstructured":"Cao Y, Wang S, Guo Z, Huang T, Wen S (2019) Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control. Neural Netw 119:178\u2013189","journal-title":"Neural Netw"},{"issue":"10","key":"9778_CR44","doi-asserted-by":"crossref","first-page":"2334","DOI":"10.1109\/TNNLS.2016.2580609","volume":"28","author":"S Wen","year":"2017","unstructured":"Wen S, Zeng Z, Chen MZ, Huang T (2017) Synchronization of switched neural networks with communication delays via the event-triggered control. IEEE Trans Neural Netw Learn Syst 28(10):2334\u20132343","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"8","key":"9778_CR45","doi-asserted-by":"crossref","first-page":"7682","DOI":"10.1109\/TCYB.2020.3035358","volume":"52","author":"Y Zhou","year":"2022","unstructured":"Zhou Y, Zhang H, Zeng Z (2022) Quasisynchronization of memristive neural networks with communication delays via event-triggered impulsive control. IEEE Trans Cybernet 52(8):7682\u20137693","journal-title":"IEEE Trans Cybernet"},{"key":"9778_CR46","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1109\/ACCESS.2019.2955939","volume":"8","author":"Y Cao","year":"2019","unstructured":"Cao Y, Wang S, Wen S (2019) Exponential synchronization of switched neural networks with mixed time-varying delays via static\/dynamic event-triggering rules. IEEE Access 8:338\u2013347","journal-title":"IEEE Access"},{"issue":"3","key":"9778_CR47","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1109\/TNNLS.2020.3030638","volume":"33","author":"A Kazemy","year":"2022","unstructured":"Kazemy A, Lam J, Zhang X-M (2022) Event-triggered output feedback synchronization of master-slave neural networks under deception attacks. IEEE Trans Neural Netw Learn Syst 33(3):952\u2013961","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"9778_CR48","doi-asserted-by":"publisher","unstructured":"Wang X, Park JH, Liu Z, Yang H (2023) Dynamic event-triggered control for GSES of memristive neural networks under multiple cyber-attacks. IEEE Trans Neural Netw Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2022.3217461","DOI":"10.1109\/TNNLS.2022.3217461"},{"key":"9778_CR49","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.neucom.2020.05.037","volume":"409","author":"J Cai","year":"2020","unstructured":"Cai J, Feng J, Wang J, Zhao Y (2020) Quasi-synchronization of neural networks with diffusion effects via intermittent control of regional division. Neurocomputing 409:146\u2013156","journal-title":"Neurocomputing"},{"issue":"13","key":"9778_CR50","doi-asserted-by":"crossref","first-page":"10080","DOI":"10.1016\/j.jfranklin.2023.07.030","volume":"360","author":"W Chen","year":"2023","unstructured":"Chen W, Ren G, Yu Y, Yuan X (2023) Quasi-synchronization of heterogeneous stochastic coupled reaction-diffusion neural networks with mixed time-varying delays via boundary control. J Franklin Inst 360(13):10080\u201310099","journal-title":"J Franklin Inst"},{"issue":"5","key":"9778_CR51","doi-asserted-by":"crossref","first-page":"3486","DOI":"10.1137\/120897341","volume":"51","author":"X Yang","year":"2013","unstructured":"Yang X, Cao J, Yang Z (2013) Synchronization of coupled reaction-diffusion neural networks with time-varying delays via pinning-impulsive controller. SIAM J Control Opt 51(5):3486\u20133510","journal-title":"SIAM J Control Opt"},{"issue":"11","key":"9778_CR52","doi-asserted-by":"crossref","first-page":"2254","DOI":"10.1109\/TSMC.2018.2850157","volume":"49","author":"Y Fan","year":"2019","unstructured":"Fan Y, Huang X, Li Y, Xia J, Chen G (2019) Aperiodically intermittent control for quasi-synchronization of delayed memristive neural networks: an interval matrix and matrix measure combined method. IEEE Trans Syst Man Cybernet Syst 49(11):2254\u20132265","journal-title":"IEEE Trans Syst Man Cybernet Syst"},{"issue":"2","key":"9778_CR53","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TCYB.2017.2765343","volume":"49","author":"Y Xin","year":"2019","unstructured":"Xin Y, Li Y, Huang X, Cheng Z (2019) Quasi-synchronization of delayed chaotic memristive neural networks. IEEE Trans Cybernet 49(2):712\u2013718","journal-title":"IEEE Trans Cybernet"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-09778-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-024-09778-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-09778-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T10:12:38Z","timestamp":1720779158000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-024-09778-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,24]]},"references-count":53,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["9778"],"URL":"https:\/\/doi.org\/10.1007\/s00521-024-09778-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,24]]},"assertion":[{"value":"22 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 March 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 April 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There is no conflict of interest in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}