{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T17:08:36Z","timestamp":1778692116060,"version":"3.51.4"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:00:00Z","timestamp":1778457600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:00:00Z","timestamp":1778457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["24JCYBJC00470"],"award-info":[{"award-number":["24JCYBJC00470"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52579016"],"award-info":[{"award-number":["52579016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comp. Appl. Math."],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1007\/s40314-026-03797-z","type":"journal-article","created":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T08:35:17Z","timestamp":1778488517000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Novel passivity analysis and global polynomial stabilization of complex-valued memristive neural networks with proportional delays for secure image encryption"],"prefix":"10.1007","volume":"45","author":[{"given":"Yongkang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2002-0354","authenticated-orcid":false,"given":"Liqun","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,11]]},"reference":[{"key":"3797_CR1","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.neucom.2018.11.020","volume":"332","author":"AM Alimi","year":"2019","unstructured":"Alimi AM, Aouiti C, Assali EA (2019) Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication. Neurocomputing 332:29\u201343. https:\/\/doi.org\/10.1016\/j.neucom.2018.11.020","journal-title":"Neurocomputing"},{"issue":"8","key":"3797_CR2","doi-asserted-by":"publisher","first-page":"1392","DOI":"10.1080\/00207721.2020.1764128","volume":"51","author":"C Aouiti","year":"2020","unstructured":"Aouiti C, Sakthivel R, Touati F (2020) Global dissipativity of fuzzy cellular neural networks with inertial term and proportional delays. Int J Syst Sci 51(8):1392\u20131405. https:\/\/doi.org\/10.1080\/00207721.2020.1764128","journal-title":"Int J Syst Sci"},{"key":"3797_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2024.128764","volume":"476","author":"Y Cao","year":"2024","unstructured":"Cao Y, Zhou W, Liu X, Wu K (2024) Passivity of fractional reaction-diffusion systems. Appl Math Comput 476:128764. https:\/\/doi.org\/10.1016\/j.amc.2024.128764","journal-title":"Appl Math Comput"},{"issue":"6","key":"3797_CR4","doi-asserted-by":"publisher","first-page":"1892","DOI":"10.1109\/LCSYS.2020.3044835","volume":"5","author":"C Chan-Zheng","year":"2021","unstructured":"Chan-Zheng C, Borja P, Scherpen JMA (2021) Tuning rules for a class of passivity-based controllers for mechanical systems. IEEE Control Syst Lett 5(6):1892\u20131897. https:\/\/doi.org\/10.1109\/LCSYS.2020.3044835","journal-title":"IEEE Control Syst Lett"},{"key":"3797_CR5","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1016\/j.neucom.2013.04.040","volume":"121","author":"X Chen","year":"2013","unstructured":"Chen X, Song Q (2013) Global stability of complex-valued neural networks with both leakage time delay and discrete time delay on time scales. Neurocomputing 121:254\u2013264. https:\/\/doi.org\/10.1016\/j.neucom.2013.04.040","journal-title":"Neurocomputing"},{"key":"3797_CR6","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/j.neucom.2021.04.043","volume":"450","author":"S Chen","year":"2021","unstructured":"Chen S, Song Q, Zhao Z, Liu Y, Alsaadi FE (2021) Global asymptotic stability of fractional-order complex-valued neural networks with probabilistic time-varying delays. Neurocomputing 450:311\u2013318. https:\/\/doi.org\/10.1016\/j.neucom.2021.04.043","journal-title":"Neurocomputing"},{"key":"3797_CR7","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.neunet.2023.11.026","volume":"170","author":"H Deng","year":"2024","unstructured":"Deng H, Li C, Chang F, Wang Y (2024) Mean square exponential stabilization analysis of stochastic neural networks with saturated impulsive input. Neural Netw 170:127\u2013135. https:\/\/doi.org\/10.1016\/j.neunet.2023.11.026","journal-title":"Neural Netw"},{"key":"3797_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128648","volume":"611","author":"L Duan","year":"2025","unstructured":"Duan L, Li J (2025) Finite-time synchronization for a fully complex-valued bam inertial neural network with proportional delays via non-reduced order and non-separation approach. Neurocomputing 611:128648. https:\/\/doi.org\/10.1016\/j.neucom.2024.128648","journal-title":"Neurocomputing"},{"key":"3797_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-024-10709-5","author":"Y Fan","year":"2024","unstructured":"Fan Y, Wang Z (2024) A review for dynamic analysis and control of memristive neural networks. Nonlinear Dyn. https:\/\/doi.org\/10.1007\/s11071-024-10709-5","journal-title":"Nonlinear Dyn"},{"key":"3797_CR10","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1007\/s11063-017-9687-2","volume":"47","author":"J Guo","year":"2018","unstructured":"Guo J, Meng Z, Xiang Z (2018) Passivity analysis of stochastic memristor-based complex-valued recurrent neural networks with mixed time-varying delays. Neural Process Lett 47:1097\u20131113. https:\/\/doi.org\/10.1007\/s11063-017-9687-2","journal-title":"Neural Process Lett"},{"key":"3797_CR11","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1016\/j.ins.2021.09.050","volume":"580","author":"Y Huang","year":"2021","unstructured":"Huang Y, Wu F (2021) Finite-time passivity and synchronization of coupled complex-valued memristive neural networks. Inf Sci 580:775\u2013800. https:\/\/doi.org\/10.1016\/j.ins.2021.09.050","journal-title":"Inf Sci"},{"key":"3797_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2020.125271","volume":"379","author":"Y Huang","year":"2020","unstructured":"Huang Y, Hou J, Yang E (2020) Passivity and synchronization of coupled reaction-diffusion complex-valued memristive neural networks. Appl Math Comput 379:125271. https:\/\/doi.org\/10.1016\/j.amc.2020.125271","journal-title":"Appl Math Comput"},{"key":"3797_CR13","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1016\/j.matcom.2021.01.020","volume":"201","author":"M Iswarya","year":"2022","unstructured":"Iswarya M, Raja R, Cao J, Niezabitowski M, Alzabut J, Maharajan C (2022) New results on exponential input-to-state stability analysis of memristor based complex-valued inertial neural networks with proportional and distributed delays. Math Comput Simul 201:440\u2013461. https:\/\/doi.org\/10.1016\/j.matcom.2021.01.020","journal-title":"Math Comput Simul"},{"key":"3797_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120337","volume":"664","author":"M Kchaou","year":"2024","unstructured":"Kchaou M, Narayanan G, Ali MS, Sanober S, Rajchakit G, Priya B (2024) Finite-time mittag-leffler synchronization of delayed fractional-order discrete-time complex-valued genetic regulatory networks: Decomposition and direct approaches. Inf Sci 664:120337. https:\/\/doi.org\/10.1016\/j.ins.2024.120337","journal-title":"Inf Sci"},{"key":"3797_CR15","doi-asserted-by":"publisher","first-page":"3385","DOI":"10.1007\/s00521-020-05182-1","volume":"33","author":"J Kisel\u2019\u00e1k","year":"2021","unstructured":"Kisel\u2019\u00e1k J, Lu Y, \u0160vihra J, Sz\u00e9pe P, Stehl\u00edk M (2021) \u201cSPOCU\u2019\u2019: scaled polynomial constant unit activation function. Neural Comput Appl 33:3385\u20133401. https:\/\/doi.org\/10.1007\/s00521-020-05182-1","journal-title":"Neural Comput Appl"},{"key":"3797_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106637","volume":"180","author":"G Kong","year":"2024","unstructured":"Kong G, Guo L (2024) Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality. Neural Netw 180:106637. https:\/\/doi.org\/10.1016\/j.neunet.2024.106637","journal-title":"Neural Netw"},{"key":"3797_CR17","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.fss.2022.02.006","volume":"449","author":"F Kong","year":"2022","unstructured":"Kong F, Zhu Q (2022) Finite-time stabilization of discontinuous fuzzy neutral-type neural networks with d operator and multiple time-varying delays. Fuzzy Sets Syst 449:32\u201355. https:\/\/doi.org\/10.1016\/j.fss.2022.02.006","journal-title":"Fuzzy Sets Syst"},{"key":"3797_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2021.111148","volume":"150","author":"F Kong","year":"2021","unstructured":"Kong F, Ren Y, Sakthivel R (2021) New criteria on periodicity and stabilization of discontinuous uncertain inertial cohen-grossberg neural networks with proportional delays. Chaos Soliton Fract 150:111148. https:\/\/doi.org\/10.1016\/j.chaos.2021.111148","journal-title":"Chaos Soliton Fract"},{"key":"3797_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2023.114338","volume":"178","author":"KP Lakshmi","year":"2024","unstructured":"Lakshmi KP, Senthilkumar T (2024) Synchronization results for uncertain complex-valued neural networks under delay-dependent flexible impulsive control. Chaos Soliton Fract 178:114338. https:\/\/doi.org\/10.1016\/j.chaos.2023.114338","journal-title":"Chaos Soliton Fract"},{"issue":"6597","key":"3797_CR20","doi-asserted-by":"publisher","first-page":"9979","DOI":"10.1126\/science.abj99","volume":"376","author":"M Lanza","year":"2022","unstructured":"Lanza M, Sebastian A, Lu WD, Le Gallo M, Chang M-F, Akinwande D, Puglisi FM, Alshareef HN, Liu M, Roldan JB (2022) Memristive technologies for data storage, computation, encryption, and radio-frequency communication. Science 376(6597):9979. https:\/\/doi.org\/10.1126\/science.abj99","journal-title":"Science"},{"issue":"2","key":"3797_CR21","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1080\/0952813X.2019.1647564","volume":"32","author":"Y Li","year":"2020","unstructured":"Li Y, Qin J (2020) Existence and global exponential stability of anti-periodic solutions for generalised inertial competitive neural networks with time-varying delays. J Exp Theor Artif Intell 32(2):291\u2013307. https:\/\/doi.org\/10.1080\/0952813X.2019.1647564","journal-title":"J Exp Theor Artif Intell"},{"key":"3797_CR22","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1016\/j.ins.2022.08.011","volume":"610","author":"H Li","year":"2022","unstructured":"Li H, Hu C, Zhang G, Hu J, Wang L (2022) Fixed-\/preassigned-time stabilization of delayed memristive neural networks. Inf Sci 610:624\u2013636. https:\/\/doi.org\/10.1016\/j.ins.2022.08.011","journal-title":"Inf Sci"},{"issue":"3","key":"3797_CR23","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1109\/9.911424","volume":"46","author":"S-I Niculescu","year":"2001","unstructured":"Niculescu S-I, Lozano R (2001) On the passivity of linear delay systems. IEEE Trans Autom Control 46(3):460\u2013464. https:\/\/doi.org\/10.1109\/9.911424","journal-title":"IEEE Trans Autom Control"},{"key":"3797_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128581","volume":"610","author":"H Nie","year":"2024","unstructured":"Nie H, Zhang Y, Sun J (2024) Finite-time passivity of multi-weighted coupled neural networks with directed topologies and time-varying delay. Neurocomputing 610:128581. https:\/\/doi.org\/10.1016\/j.neucom.2024.128581","journal-title":"Neurocomputing"},{"issue":"1","key":"3797_CR25","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1007\/s11063-020-10401-w","volume":"53","author":"G Rajchakit","year":"2021","unstructured":"Rajchakit G, Sriraman R (2021) Robust passivity and stability analysis of uncertain complex-valued impulsive neural networks with time-varying delays. Neural Process Lett 53(1):581\u2013606. https:\/\/doi.org\/10.1007\/s11063-020-10401-w","journal-title":"Neural Process Lett"},{"key":"3797_CR26","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.neucom.2020.07.036","volume":"417","author":"G Rajchakit","year":"2020","unstructured":"Rajchakit G, Chanthorn P, Niezabitowski M, Raja R, Baleanu D, Pratap A (2020) Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks. Neurocomputing 417:290\u2013301. https:\/\/doi.org\/10.1016\/j.neucom.2020.07.036","journal-title":"Neurocomputing"},{"key":"3797_CR27","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1016\/j.neucom.2014.04.034","volume":"144","author":"R Rakkiyappan","year":"2014","unstructured":"Rakkiyappan R, Sivaranjani K, Velmurugan G (2014) Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays. Neurocomputing 144:391\u2013407. https:\/\/doi.org\/10.1016\/j.neucom.2014.04.034","journal-title":"Neurocomputing"},{"issue":"6","key":"3797_CR28","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1002\/acs.2736","volume":"31","author":"S Ramasamy","year":"2017","unstructured":"Ramasamy S, Nagamani G (2017) Dissipativity and passivity analysis for discrete-time complex-valued neural networks with leakage delay and probabilistic time-varying delays. Int J Adapt Control Signal Process 31(6):876\u2013902. https:\/\/doi.org\/10.1002\/acs.2736","journal-title":"Int J Adapt Control Signal Process"},{"key":"3797_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.123048","volume":"244","author":"N Rong","year":"2024","unstructured":"Rong N, Jing Y, Ding S, Xie X (2024) Event-triggered synchronization for discrete-time delayed neural networks via aperiodic detection. Expert Syst Appl 244:123048. https:\/\/doi.org\/10.1016\/j.eswa.2023.123048","journal-title":"Expert Syst Appl"},{"key":"3797_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2024.115847","volume":"140","author":"Z Ruan","year":"2025","unstructured":"Ruan Z, Wu X, Ji\u2019e M, Duan S, Wang L (2025) Finite-time region-partitioning intermittent stabilization of memristor-based neural networks and its application. Appl Math Model 140:115847. https:\/\/doi.org\/10.1016\/j.apm.2024.115847","journal-title":"Appl Math Model"},{"key":"3797_CR31","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neunet.2020.03.006","volume":"126","author":"J Shi","year":"2020","unstructured":"Shi J, Zeng Z (2020) Global exponential stabilization and lag synchronization control of inertial neural networks with time delays. Neural Netw 126:11\u201320. https:\/\/doi.org\/10.1016\/j.neunet.2020.03.006","journal-title":"Neural Netw"},{"key":"3797_CR32","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.matcom.2019.04.001","volume":"171","author":"R Sriraman","year":"2020","unstructured":"Sriraman R, Cao Y, Samidurai R (2020) Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays. Math Comput Simul 171:103\u2013118. https:\/\/doi.org\/10.1016\/j.matcom.2019.04.001","journal-title":"Math Comput Simul"},{"issue":"3","key":"3797_CR33","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1007\/s11063-014-9371-8","volume":"42","author":"G Velmurugan","year":"2015","unstructured":"Velmurugan G, Rakkiyappan R, Lakshmanan S (2015) Passivity analysis of memristor-based complex-valued neural networks with time-varying delays. Neural Process Lett 42(3):517\u2013540. https:\/\/doi.org\/10.1007\/s11063-014-9371-8","journal-title":"Neural Process Lett"},{"issue":"18","key":"3797_CR34","doi-asserted-by":"publisher","first-page":"11108","DOI":"10.1016\/j.jfranklin.2022.07.047","volume":"359","author":"J Wang","year":"2022","unstructured":"Wang J, Wang Z, Shi K, Jia F, Ding K (2022) Point-sampled-data passivity stabilization of stochastic complex-valued memristor networks with multi-delays and reaction-diffusion term: A switching model approach. J Franklin Inst 359(18):11108\u201311134. https:\/\/doi.org\/10.1016\/j.jfranklin.2022.07.047","journal-title":"J Franklin Inst"},{"issue":"5","key":"3797_CR35","doi-asserted-by":"publisher","first-page":"3410","DOI":"10.1109\/TAC.2024.3518418","volume":"70","author":"B Wang","year":"2025","unstructured":"Wang B, Zhu Q, Li S (2025) Stabilization of hidden markov jump singular systems with limit mode switching information. IEEE Trans Autom Control 70(5):3410\u20133416. https:\/\/doi.org\/10.1109\/TAC.2024.3518418","journal-title":"IEEE Trans Autom Control"},{"issue":"10","key":"3797_CR36","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-023-4286-4","volume":"68","author":"H Wang","year":"2025","unstructured":"Wang H, Li Y, Zhu Q, Deng F (2025) Finite-time output-feedback stabilization for a class of switched stochastic planar systems with asymmetric time-varying output constraints. Sci China Inf Sci 68(10):202202. https:\/\/doi.org\/10.1007\/s11432-023-4286-4","journal-title":"Sci China Inf Sci"},{"key":"3797_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110409","volume":"266","author":"A Wei","year":"2023","unstructured":"Wei A, Wang K, Wang E, Tong T (2023) Finite-time stabilization for semi-markov reaction-diffusion memristive nns: A boundary pinning control scheme. Knowl-Based Syst 266:110409. https:\/\/doi.org\/10.1016\/j.knosys.2023.110409","journal-title":"Knowl-Based Syst"},{"issue":"9","key":"3797_CR38","doi-asserted-by":"publisher","first-page":"4074","DOI":"10.1016\/j.jfranklin.2022.04.011","volume":"359","author":"K Wu","year":"2022","unstructured":"Wu K, Zhou W, Liu X (2022) Passivity-based boundary control for delay reaction-diffusion systems. J Franklin Inst 359(9):4074\u20134096. https:\/\/doi.org\/10.1016\/j.jfranklin.2022.04.011","journal-title":"J Franklin Inst"},{"key":"3797_CR39","doi-asserted-by":"publisher","unstructured":"Yang F, Ma J, Wu F (2024a) Review on memristor application in neural circuit and network. Chaos Soliton Fract 187:115361. https:\/\/doi.org\/10.1016\/j.chaos.2024.115361","DOI":"10.1016\/j.chaos.2024.115361"},{"key":"3797_CR40","doi-asserted-by":"publisher","unstructured":"Yang W, Huang J, He X, Wen S (2024b) Fixed-time synchronization of complex-valued neural networks for image protection and 3d point cloud information protection. Neural Netw 172:106089. https:\/\/doi.org\/10.1016\/j.neunet.2023.12.043","DOI":"10.1016\/j.neunet.2023.12.043"},{"issue":"7792","key":"3797_CR41","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1038\/s41586-020-1942-4","volume":"577","author":"P Yao","year":"2020","unstructured":"Yao P, Wu H, Gao B, Tang J, Zhang Q, Zhang W, Yang JJ, Qian H (2020) Fully hardware-implemented memristor convolutional neural network. Nature 577(7792):641\u2013646. https:\/\/doi.org\/10.1038\/s41586-020-1942-4","journal-title":"Nature"},{"key":"3797_CR42","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.neunet.2020.01.002","volume":"124","author":"J Yu","year":"2020","unstructured":"Yu J, Hu C, Jiang H, Wang L (2020) Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach. Neural Netw 124:50\u201359. https:\/\/doi.org\/10.1016\/j.neunet.2020.01.002","journal-title":"Neural Netw"},{"issue":"1","key":"3797_CR43","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1109\/TNNLS.2020.2977614","volume":"32","author":"M Yuan","year":"2021","unstructured":"Yuan M, Wang W, Wang Z, Luo X, Kurths J (2021) Exponential synchronization of delayed memristor-based uncertain complex-valued neural networks for image protection. IEEE Trans Neural Netw Learn Syst 32(1):151\u2013165. https:\/\/doi.org\/10.1109\/TNNLS.2020.2977614","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"4","key":"3797_CR44","doi-asserted-by":"publisher","first-page":"2913","DOI":"10.1007\/s00521-021-06555-w","volume":"34","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Zhou L (2022) Novel global polynomial stability criteria of impulsive complex-valued neural networks with multi-proportional delays. Neural Comput Appl 34(4):2913\u20132924. https:\/\/doi.org\/10.1007\/s00521-021-06555-w","journal-title":"Neural Comput Appl"},{"key":"3797_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121150","volume":"680","author":"Y Zhang","year":"2024","unstructured":"Zhang Y, Zhou L (2024) State estimation for proportional delayed complex-valued memristive neural networks. Inf Sci 680:121150. https:\/\/doi.org\/10.1016\/j.ins.2024.121150","journal-title":"Inf Sci"},{"key":"3797_CR46","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.neunet.2022.07.006","volume":"154","author":"X Zhang","year":"2022","unstructured":"Zhang X, Li C, Li H, Cao Z (2022) Mean-square stabilization of impulsive neural networks with mixed delays by non-fragile feedback involving random uncertainties. Neural Netw 154:469\u2013480. https:\/\/doi.org\/10.1016\/j.neunet.2022.07.006","journal-title":"Neural Netw"},{"key":"3797_CR47","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.neunet.2022.07.006","volume":"154","author":"X Zhang","year":"2022","unstructured":"Zhang X, Li C, Li H, Cao Z (2022) Mean-square stabilization of impulsive neural networks with mixed delays by non-fragile feedback involving random uncertainties. Neural Netw 154:469\u2013480. https:\/\/doi.org\/10.1016\/j.neunet.2022.07.006","journal-title":"Neural Netw"},{"key":"3797_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106585","volume":"179","author":"J Zhang","year":"2024","unstructured":"Zhang J, Yang J, Gan Q, Wu H, Cao J (2024) Improved fixed-time stability analysis and applications to synchronization of discontinuous complex-valued fuzzy cellular neural networks. Neural Netw 179:106585. https:\/\/doi.org\/10.1016\/j.neunet.2024.106585","journal-title":"Neural Netw"},{"issue":"3","key":"3797_CR49","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1007\/s11063-012-9271-8","volume":"38","author":"L Zhou","year":"2013","unstructured":"Zhou L (2013) Delay-dependent exponential stability of cellular neural networks with multi-proportional delays. Neural Process Lett 38(3):347\u2013359. https:\/\/doi.org\/10.1007\/s11063-012-9271-8","journal-title":"Neural Process Lett"},{"issue":"1","key":"3797_CR50","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1109\/TNSE.2023.3300907","volume":"11","author":"L Zhou","year":"2024","unstructured":"Zhou L, Zhao Z, Zhu Q, Zhou R, Huang T (2024) Global polynomial stabilization of impulsive neural networks with bidirectional proportional delays. IEEE Trans Netw Sci Eng 11(1):471\u2013484. https:\/\/doi.org\/10.1109\/TNSE.2023.3300907","journal-title":"IEEE Trans Netw Sci Eng"},{"issue":"2","key":"3797_CR51","doi-asserted-by":"publisher","first-page":"1176","DOI":"10.1109\/TAC.2024.3448128","volume":"70","author":"Q Zhu","year":"2025","unstructured":"Zhu Q (2025) Event-triggered sampling problem for exponential stability of stochastic nonlinear delay systems driven by l\u00e9vy processes. IEEE Trans Autom Control 70(2):1176\u20131183. https:\/\/doi.org\/10.1109\/TAC.2024.3448128","journal-title":"IEEE Trans Autom Control"}],"container-title":["Computational and Applied Mathematics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40314-026-03797-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40314-026-03797-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40314-026-03797-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T16:10:10Z","timestamp":1778688610000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40314-026-03797-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,11]]},"references-count":51,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["3797"],"URL":"https:\/\/doi.org\/10.1007\/s40314-026-03797-z","relation":{},"ISSN":["2238-3603","1807-0302"],"issn-type":[{"value":"2238-3603","type":"print"},{"value":"1807-0302","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,11]]},"assertion":[{"value":"14 October 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This work does not have any conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"385"}}