{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T11:18:22Z","timestamp":1770549502472,"version":"3.49.0"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T00:00:00Z","timestamp":1657756800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T00:00:00Z","timestamp":1657756800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52077056"],"award-info":[{"award-number":["52077056"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976240"],"award-info":[{"award-number":["61976240"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51977060"],"award-info":[{"award-number":["51977060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["E2020202033"],"award-info":[{"award-number":["E2020202033"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s10489-022-03804-w","type":"journal-article","created":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T07:03:03Z","timestamp":1657782183000},"page":"7074-7092","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Anti-interference of a small-world spiking neural network against pulse noise"],"prefix":"10.1007","volume":"53","author":[{"given":"Lei","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihua","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youxi","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guizhi","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,14]]},"reference":[{"key":"3804_CR1","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.neubiorev.2015.10.010","volume":"60","author":"JF Codocedo","year":"2016","unstructured":"Codocedo JF, Inestrosa NC (2016) Environmental control of micrornas in the nervous system: implications in plasticity and behavior. Neurosci Biobehav Rev 60:121\u2013138. https:\/\/doi.org\/10.1016\/j.neubiorev.2015.10.010","journal-title":"Neurosci Biobehav Rev"},{"key":"3804_CR2","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.actbio.2017.01.068","volume":"53","author":"TR Ham","year":"2017","unstructured":"Ham TR, Farrag M, Leipzig ND (2017) Covalent growth factor tethering to direct neural stem cell differentiation and self-organization. Acta Biomaterialia 53:140\u2013151. https:\/\/doi.org\/10.1016\/j.actbio.2017","journal-title":"Acta Biomaterialia"},{"issue":"11","key":"3804_CR3","doi-asserted-by":"publisher","first-page":"898.e1","DOI":"10.1016\/j.crad.2019.07.015","volume":"74","author":"S Wang","year":"2019","unstructured":"Wang S, Wang H, Zhao D, Liu X, Yan W, Wang M et al (2019) Grey matter changes in patients with vestibular migraine. Clin Radiol 74(11):898.e1\u2013898.e5. https:\/\/doi.org\/10.1016\/j.crad.2019.07","journal-title":"Clin Radiol"},{"issue":"6","key":"3804_CR4","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1109\/MSP.2019.2935234","volume":"36","author":"H Jang","year":"2019","unstructured":"Jang H, Simeone O, Gardner B, Gruning A (2019) An introduction to probabilistic spiking neural networks: probabilistic models, learning rules, and applications. IEEE Signal Process Mag 36(6):64\u201377. https:\/\/doi.org\/10.1109\/MSP","journal-title":"IEEE Signal Process Mag"},{"key":"3804_CR5","doi-asserted-by":"publisher","first-page":"121357","DOI":"10.1016\/j.physa.2019.121357","volume":"528","author":"W Deng","year":"2019","unstructured":"Deng W, Huang K, Yang C (2019) Effect of clustering property on complex network reconstruction via compressed sensing. Physica A 528:121357. https:\/\/doi.org\/10.1016\/j.physa","journal-title":"Physica A"},{"key":"3804_CR6","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1007\/s10489-019-01552-y","volume":"50","author":"A Gautam","year":"2020","unstructured":"Gautam A, Singh V (2020) CLR-based deep convolutional spiking neural network with validation based stopping for time series classification. Appl Intell 50:830\u2013848. https:\/\/doi.org\/10.1007\/s10489-019-01552-y","journal-title":"Appl Intell"},{"key":"3804_CR7","doi-asserted-by":"publisher","first-page":"2173","DOI":"10.1007\/s10489-020-01934-7","volume":"51","author":"I Hussain","year":"2021","unstructured":"Hussain I, Thounaojam DM (2021) WOLIf: an efficiently tuned classifier that learns to classify non-linear temporal patterns without hidden layers. Appl Intell 51:2173\u20132187. https:\/\/doi.org\/10.1007\/s10489-020-01934-7","journal-title":"Appl Intell"},{"issue":"4","key":"3804_CR8","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1113\/jphysiol.1952.sp004764","volume":"117","author":"AL Hodgkin","year":"1952","unstructured":"Hodgkin AL, Huxley AF (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117(4):500\u2013544. https:\/\/doi.org\/10.1007\/BF02459568","journal-title":"J Physiol"},{"issue":"5","key":"3804_CR9","doi-asserted-by":"publisher","first-page":"3637","DOI":"10.1152\/jn.00686.2005","volume":"94","author":"R Brette","year":"2005","unstructured":"Brette R, Gerstner W (2005) Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J Neurophysiol 94(5):3637\u20133642. https:\/\/doi.org\/10.1152\/jn.00686","journal-title":"J Neurophysiol"},{"issue":"6","key":"3804_CR10","doi-asserted-by":"publisher","first-page":"1569","DOI":"10.1109\/TNN.2003.820440","volume":"14","author":"EM Izhikevich","year":"2003","unstructured":"Izhikevich E M (2003) Simple model of spiking neurons. IEEE Trans Neural Netw 14(6):1569\u20131572. https:\/\/doi.org\/10.1109\/TNN.2003.820440https:\/\/doi.org\/10.1109\/TNN.2003.820440","journal-title":"IEEE Trans Neural Netw"},{"issue":"9","key":"3804_CR11","doi-asserted-by":"publisher","first-page":"e0234749","DOI":"10.1371\/journal.pone.0234749","volume":"15","author":"D Gabrieli","year":"2020","unstructured":"Gabrieli D, Schumm SN, Vigilante NF, Parvesse B, Meaney DF (2020) Neurodegeneration exposes firing rate dependent effects on oscillation dynamics in computational neural networks. Plos One 15 (9):e0234749. https:\/\/doi.org\/10.1371\/journal.pone.0234749","journal-title":"Plos One"},{"issue":"2","key":"3804_CR12","doi-asserted-by":"publisher","first-page":"105","DOI":"10.2991\/jrnal.k.190828.007","volume":"6","author":"M Takahashi","year":"2019","unstructured":"Takahashi M (2019) Izhikevich model-based self-repairing control for plants with sensor failures and disturbances. J Robot Netw Artif Life 6(2):105\u2013108. https:\/\/doi.org\/10.2991\/jrnal.k.190828.007https:\/\/doi.org\/10.2991\/jrnal.k.190828.007","journal-title":"J Robot Netw Artif Life"},{"issue":"3","key":"3804_CR13","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s11571-017-9470-0","volume":"12","author":"SY Kim","year":"2018","unstructured":"Kim SY, Lim W (2018) Effect of spike-timing dependent plasticity on stochastic burst synchronization in a scale-free neuronal network. Cogn Neurodyn 12(3):315\u2013342. https:\/\/doi.org\/10.1007\/s11571-017-9470-0https:\/\/doi.org\/10.1007\/s11571-017-9470-0","journal-title":"Cogn Neurodyn"},{"issue":"3","key":"3804_CR14","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/s10827-018-0707-7","volume":"45","author":"T G\u00f3rski","year":"2018","unstructured":"G\u00f3rski T, Veltz R, Galtier M, Fragnaud H, Goldman JS, Tele\u0144czuk B et al (2018) Dendritic sodium spikes endow neurons with inverse firing rate response to correlated synaptic activity. J Comput Neurosci 45(3):223\u2013234. https:\/\/doi.org\/10.1007\/s10827-018-0707-7https:\/\/doi.org\/10.1007\/s10827-018-0707-7","journal-title":"J Comput Neurosci"},{"issue":"12","key":"3804_CR15","doi-asserted-by":"publisher","first-page":"e0189690","DOI":"10.1371\/journal.pone.0189690","volume":"12","author":"S Yang","year":"2017","unstructured":"Yang S, Govindaiah G, Lee S H, Yang S, Cox C L (2017) Distinct kinetics of inhibitory currents in thalamocortical neurons that arise from dendritic or axonal origin. PloS One 12(12):e0189690. https:\/\/doi.org\/10.1371\/journal.pone.0189690","journal-title":"PloS One"},{"key":"3804_CR16","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.neuroscience.2019.02.007","volume":"404","author":"Z Dargaei","year":"2019","unstructured":"Dargaei Z, Liang X, Serranilla M, Santos J, Woodin MA (2019) Alterations in hippocampal inhibitory synaptic transmission in the r6\/2 mouse model of huntington\u2019s disease. Neuroscience 404:130\u2013140. https:\/\/doi.org\/10.1016\/j.neuroscience.2019.02.007","journal-title":"Neuroscience"},{"issue":"4","key":"3804_CR17","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1109\/TNNLS.2019.2919662","volume":"31","author":"C Hong","year":"2019","unstructured":"Hong C, Wei X, Wang J, Deng B, Yu H, Che y (2019) Training spiking neural networks for cognitive tasks: a versatile framework compatible with various temporal codes. IEEE Trans Neural Netw Learn Syst 31(4):1285\u20131296. https:\/\/doi.org\/10.1109\/TNNLS.2019.2919662","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"3804_CR18","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s10462-020-09818-5","volume":"53","author":"X Yangm","year":"2020","unstructured":"Yangm X, Lin J, Zheng W, Zhao J, Ji M, Lei Y et al (2020) Research on learning mechanism designing for equilibrated bipolar spiking neural networks. Artif Intell Rev 53:189\u20135215. https:\/\/doi.org\/10.1007\/s10462-020-09818-5","journal-title":"Artif Intell Rev"},{"key":"3804_CR19","doi-asserted-by":"crossref","unstructured":"Barthelemy M (2018) Morphogenesis of spatial networks. Berlin, germany","DOI":"10.1007\/978-3-319-20565-6"},{"issue":"9","key":"3804_CR20","doi-asserted-by":"publisher","first-page":"095602","DOI":"10.1088\/1572-9494\/aba249","volume":"72","author":"Y Habibulla","year":"2020","unstructured":"Habibulla Y (2020) Statistical mechanics of the directed 2-distance minimal dominating set problem. Commun Theor Phys 72(9):095602. https:\/\/doi.org\/10.1088\/1572-9494\/aba249","journal-title":"Commun Theor Phys"},{"key":"3804_CR21","doi-asserted-by":"publisher","first-page":"375381","DOI":"10.1016\/j.physa.2017.10.003","volume":"492","author":"Z Li","year":"2018","unstructured":"Li Z, Ren T, Xu Y, Jin J (2018) The relationship between synchronization and percolation for regular networks. Phys A: Stat Mech Appl 492:375381. https:\/\/doi.org\/10.1016\/j.physa.2017.10.003","journal-title":"Phys A: Stat Mech Appl"},{"issue":"6684","key":"3804_CR22","doi-asserted-by":"publisher","first-page":"440442","DOI":"10.1038\/30918","volume":"393","author":"DJ Watts","year":"1998","unstructured":"Watts DJ, Strogatz SH (1998) Collective dynamics of small-world networks. Nature 393 (6684):440442. https:\/\/doi.org\/10.1038\/30918https:\/\/doi.org\/10.1038\/30918","journal-title":"Nature"},{"issue":"1","key":"3804_CR23","doi-asserted-by":"publisher","first-page":"4861","DOI":"10.1016\/j.jtbi.2010.08.006","volume":"267","author":"SF Greenbury","year":"2010","unstructured":"Greenbury SF, Johnston IJ, Smith MA, Doye JPK, Louis A (2010) A the effect of scale-free topology on the robustness and evolvability of genetic regulatory networks. J Theor Biol 267(1):4861. https:\/\/doi.org\/10.1016\/j.jtbi","journal-title":"J Theor Biol"},{"key":"3804_CR24","doi-asserted-by":"publisher","unstructured":"Li G, Luo Y, Zhang Z, Xu Y, Jiao W, Jiang Y, Huang S, Wang C (2019) Effects of mental fatigue on small-world brain functional network organization. Neural plasticity. pp 1716074. https:\/\/doi.org\/10.1155\/2019\/1716074","DOI":"10.1155\/2019\/1716074"},{"issue":"7","key":"3804_CR25","doi-asserted-by":"publisher","first-page":"986","DOI":"10.13929\/j.issn.1003-3289.2020","volume":"36","author":"QL Hu","year":"2020","unstructured":"Hu QL, Wang XB, Li YF, Song YJ, Meng FH et al (2020) Analysis of brain structural network of patients with mild cognitive impairment based on DTI. Chin J Med Imaging Technol 36(7):986\u2013990. https:\/\/doi.org\/10.13929\/j.issn.1003-3289.2020","journal-title":"Chin J Med Imaging Technol"},{"issue":"2","key":"3804_CR26","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1007\/s10548-014-0399-x","volume":"28","author":"X Lei","year":"2015","unstructured":"Lei X, Wang Y, Yuan H, Chen A (2015) Brain scale-free properties in awake rest and NREM sleep: a simultaneous EEG\/fMRI study. Brain Topogr 28(2):292\u2013304. https:\/\/doi.org\/10.1007\/s10548-014-0399-x","journal-title":"Brain Topogr"},{"key":"3804_CR27","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.neunet.2020.07.017","volume":"130","author":"WJ Li","year":"2020","unstructured":"Li WJ, Chu MH, Qiao JF (2020) A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling. Neural Netw 130:269\u2013285. https:\/\/doi.org\/10.1016\/j.neunet","journal-title":"Neural Netw"},{"key":"3804_CR28","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.procs.2021.06.009","volume":"190","author":"A Bennett","year":"2021","unstructured":"Bennett A, White A (2021) Dynamical properties of spiking neural networks with small world topologies. Procedia Comput Sci 190:71\u201381. https:\/\/doi.org\/10.1016\/J.PROCS","journal-title":"Procedia Comput Sci"},{"issue":"8","key":"3804_CR29","doi-asserted-by":"publisher","first-page":"083128","DOI":"10.1063\/5.0056672","volume":"31","author":"AS Reis","year":"2021","unstructured":"Reis AS, Brugnago EL, Caldas IL, Batista AM, Iarosz KC, Ferrari FA, Viana RL (2021) Suppression of chaotic bursting synchronization in clustered scale-free networks by an external feedback signal. Chaos: an Interdisciplinary Journal of Nonlinear Science 31(8):083128. https:\/\/doi.org\/0.1063\/5","journal-title":"Chaos: an Interdisciplinary Journal of Nonlinear Science"},{"key":"3804_CR30","doi-asserted-by":"crossref","unstructured":"Emmert K, Breimhorst M, Bauermann T, Birklein F, Rebhorn C, Van D et al (2017) Active pain coping is associated with the response in real-time fMRI neurofeedback during pain. Brain Imaging Behav 11(3):712721. https:\/\/doi.org\/0.1007\/s11682-016-9547-0","DOI":"10.1007\/s11682-016-9547-0"},{"key":"3804_CR31","doi-asserted-by":"publisher","first-page":"475489","DOI":"10.1016\/j.neuroimage.2019.03.078","volume":"195","author":"MS Sherwood","year":"2019","unstructured":"Sherwood MS, Parker JG, Diller EE, Ganapathy S, Bennett KB, Esquivel CR et al (2019) Self-directed down-regulation of auditory cortex activity mediated by real-time fMRI neurofeedback augments attentional processes, resting cerebral perfusion, and auditory activation. NeuroImage 195:475489. https:\/\/doi.org\/10.1016\/j.neuroimage.2019.03.078","journal-title":"NeuroImage"},{"key":"3804_CR32","doi-asserted-by":"publisher","first-page":"289296","DOI":"10.1016\/j.neuroimage.2017.09.022","volume":"162","author":"M Tik","year":"2017","unstructured":"Tik M, Hoffmann A, Sladky R, Tomova L, Hummer A, de Lara LN et al (2017) Towards understanding rTMS mechanism of action: stimulation of the DLPFC causes network-specific increase in functional connectivity. NeuroImage 162:289296. https:\/\/doi.org\/10.1016\/jneuroimage.2017.09.022","journal-title":"NeuroImage"},{"key":"3804_CR33","doi-asserted-by":"publisher","first-page":"432440","DOI":"10.1016\/j.cnsns.2019.01.004","volume":"72","author":"AS Et\u00e9m\u00e9","year":"2019","unstructured":"Et\u00e9m\u00e9 AS, Tabi CB, Mohamadou A (2019) Firing and synchronization modes in neural network under magnetic stimulation. Commun Nonlinear Sci Numer Simul 72:432440. https:\/\/doi.org\/10.1016\/j.cnsns.2019.01.004","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"4","key":"3804_CR34","doi-asserted-by":"publisher","first-page":"040,501","DOI":"10.1088\/1674-1056\/27\/4\/040501","volume":"27","author":"X Zhang","year":"2018","unstructured":"Zhang X, Liu S (2018) Stochastic resonance and synchronization behaviors of excitatory-inhibitory small-world network subjected to electromagnetic induction. Chin Phys B 27(4):040,501. https:\/\/doi.org\/CNKI:SUN:ZGWL.0.2018-04-025","journal-title":"Chin Phys B"},{"key":"3804_CR35","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.neucom.2020.07.111","volume":"418","author":"L Guo","year":"2020","unstructured":"Guo L, Hou LT, Wu YX, Lv H, Yu HL (2020) Encoding specificity of scale-free spiking neural network under different external stimulations. Neurocomputing 418:126\u2013138. https:\/\/doi.org\/10.1016\/j.neucom.2020.07.111","journal-title":"Neurocomputing"},{"issue":"11","key":"3804_CR36","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.3390\/rs11111325","volume":"11","author":"C Chen","year":"2019","unstructured":"Chen C, Ma Y, Ren G (2019) A convolutional neural network with fletcher\u2013reeves algorithm for hyperspectral image classification. Remote Sens 11(11):1325. https:\/\/doi.org\/10.3390\/rs11111325","journal-title":"Remote Sens"},{"key":"3804_CR37","doi-asserted-by":"publisher","unstructured":"Gong J, Jin J (2021) A faster and better robustness zeroing neural network for solving dynamic Sylvester equation. Neural processing letters. pp 1\u201316. https:\/\/doi.org\/10.1007\/s11063-021-10516-8","DOI":"10.1007\/s11063-021-10516-8"},{"key":"3804_CR38","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.neunet.2019.08.009","volume":"120","author":"D Patel","year":"2019","unstructured":"Patel D, Hazan H, Saunders DJ et al (2019) Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari breakout game. Neural Netw 120:108\u2013115. https:\/\/doi.org\/10.1016\/j.neunet.2019.08.009","journal-title":"Neural Netw"},{"issue":"3","key":"3804_CR39","doi-asserted-by":"publisher","first-page":"1717","DOI":"10.1007\/s00500-020-05501-7","volume":"25","author":"E Mansouri-Benssassi","year":"2021","unstructured":"Mansouri-Benssassi E, Ye J (2021) Generalisation and robustness investigation for facial and speech emotion recognition using bio-inspired spiking neural networks. Soft Comput 25 (3):1717\u20131730. https:\/\/doi.org\/10.1007\/s00500-020-05501-7","journal-title":"Soft Comput"},{"issue":"12","key":"3804_CR40","doi-asserted-by":"publisher","first-page":"e0244683","DOI":"10.1371\/journal.pone.0244683","volume":"15","author":"L Guo","year":"2020","unstructured":"Guo L, Kan E, Wu Y et al (2020) Noise suppression ability and its mechanism analysis of scale-free spiking neural network under white Gaussian noise. Plos One 15(12):e0244683. https:\/\/doi.org\/10.1371\/journal.pone.0244683","journal-title":"Plos One"},{"issue":"2","key":"3804_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TMAG.2020.3013258 10.1109\/TMAG.2020.3013258","volume":"57","author":"D Liu","year":"2020","unstructured":"Liu D, Guo L, Wu Y et al (2020) Anti-interference function of scale-free spiking neural network under AC magnetic field stimulation. IEEE Trans Mag 57(2):1\u20135. https:\/\/doi.org\/10.1109\/TMAG.2020.3013258https:\/\/doi.org\/10.1109\/TMAG.2020.3013258","journal-title":"IEEE Trans Mag"},{"issue":"6684","key":"3804_CR42","doi-asserted-by":"publisher","first-page":"440442","DOI":"10.1038\/30918","volume":"393","author":"DJ Watts","year":"1998","unstructured":"Watts DJ, Strogatz SH (1998) Collective dynamics of small-world networks. Nature 393 (6684):440442. https:\/\/doi.org\/10.1038\/30918https:\/\/doi.org\/10.1038\/30918","journal-title":"Nature"},{"issue":"5","key":"3804_CR43","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1109\/TNN.2004.832719","volume":"15","author":"EM Izhikevich","year":"2004","unstructured":"Izhikevich EM (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15(5):1063\u20131070. https:\/\/doi.org\/10.1109\/tnn.2004.832719","journal-title":"IEEE Trans Neural Netw"},{"issue":"26","key":"3804_CR44","doi-asserted-by":"publisher","first-page":"263302","DOI":"10.1063\/1.4938553","volume":"107","author":"P Gkoupidenis","year":"2015","unstructured":"Gkoupidenis P, Schaefer N, Strakosas X, Fairfield JA, Malliaras GG (2015) Synaptic plasticity functions in an organic electrochemical transistor. Appl Phys Lett 107(26):263302. https:\/\/doi.org\/10.1063\/1.4938553","journal-title":"Appl Phys Lett"},{"issue":"9","key":"3804_CR45","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1038\/78829","volume":"3","author":"S Song","year":"2000","unstructured":"Song S, Miller KD, Abbott LF (2000) Competitive hebbian learning through spike-timing-dependent synaptic plasticity. Nat Neurosci 3(9):919\u2013926. https:\/\/doi.org\/10.1038\/78829","journal-title":"Nat Neurosci"},{"key":"3804_CR46","doi-asserted-by":"publisher","first-page":"249","DOI":"10.4028\/www.scientific.net\/AST.105.249","volume":"6258","author":"HZ Zhou","year":"2021","unstructured":"Zhou HZ, Li XW (2021) Research on small-world network communication of public sentiment by self-media based on energy model. Adv Sci Technol 6258:249\u2013262. https:\/\/doi.org\/10.4028\/WWW.SCIENTIFIC.NET\/AST.105.249","journal-title":"Adv Sci Technol"},{"key":"3804_CR47","doi-asserted-by":"publisher","unstructured":"Varshney LR, Chen BL, Paniagua E, Hall DH, Chklovskii DB (2011) Structural properties of the caenorhabditis elegans neuronal network. PLoS Computational Biology, 7(2). https:\/\/doi.org\/10.1371\/journal.pcbi.1001066","DOI":"10.1371\/journal.pcbi.1001066"},{"issue":"4","key":"3804_CR48","doi-asserted-by":"publisher","first-page":"002051","DOI":"10.1371\/journal.pone.0002051","volume":"3","author":"G Humphries","year":"2008","unstructured":"Humphries G (2008) Network small-world-ness: a quantitative method for determining canonical network equivalence. PLOS ONE 3(4):002051. https:\/\/doi.org\/10.1371\/journal.pone.0002051","journal-title":"PLOS ONE"},{"key":"3804_CR49","doi-asserted-by":"publisher","unstructured":"Bin S, Sun G, Chen C (2019) Analysis of functional brain network based on electroencephalography and complex network. Microsystem technologies. pp 1\u20139. https:\/\/doi.org\/10.1007\/s00542-019-04424-0https:\/\/doi.org\/10.1007\/s00542-019-04424-0","DOI":"10.1007\/s00542-019-04424-0 10.1007\/s00542-019-04424-0"},{"issue":"7","key":"3804_CR50","doi-asserted-by":"publisher","first-page":"622779","DOI":"10.1007\/s10489-019-01413-8","volume":"49","author":"A Kumar","year":"2019","unstructured":"Kumar A, Singh SS, Singh K, Biswas B (2019) Level-2 node clustering coefficient-based link prediction. Appl Intell 49(7):622779. https:\/\/doi.org\/10.1007\/s10489-019-01413-8","journal-title":"Appl Intell"},{"issue":"6062","key":"3804_CR51","doi-asserted-by":"publisher","first-page":"691573","DOI":"10.1126\/science.1211095","volume":"334","author":"TP Vogels","year":"2011","unstructured":"Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner. W (2011) Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science 334(6062):691573. https:\/\/doi.org\/10.1126\/science.1211095","journal-title":"Science"},{"issue":"11","key":"3804_CR52","doi-asserted-by":"publisher","first-page":"473752","DOI":"10.1073\/pnas.0400087101","volume":"101","author":"A Barrat","year":"2004","unstructured":"Barrat A, Barthelemy M, Pastor-Satorras R, Vespignani A (2004) The architecture of complex weighted networks. Proc Natl Acad Sci 101(11):473752. https:\/\/doi.org\/10.1073\/pnas.0400087101","journal-title":"Proc Natl Acad Sci"},{"issue":"26","key":"3804_CR53","doi-asserted-by":"publisher","first-page":"3951","DOI":"10.1142\/S0217979205032437","volume":"19","author":"B Wang","year":"2005","unstructured":"Wang B, Tang H, Zhang Z (2005) Evolving scale-free network model with tunable clustering. Int J Modern Phys B 19(26):3951\u20133959. https:\/\/doi.org\/10.1142\/S0217979205032437","journal-title":"Int J Modern Phys B"},{"key":"3804_CR54","doi-asserted-by":"publisher","first-page":"018102","DOI":"10.1103\/PhysRevLett.94.018102","volume":"94","author":"VM Eguiluz","year":"2005","unstructured":"Eguiluz VM, Chialvo DR, Cecchi GA, Baliki M, Apkarian AV (2005) Scale-free brain functional networks. Phys Rev Lett 94:018102. https:\/\/doi.org\/10.1103\/PhysRevLett.94.018102,018102https:\/\/doi.org\/10.1103\/PhysRevLett.94.018102,018102","journal-title":"Phys Rev Lett"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03804-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03804-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03804-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T04:40:19Z","timestamp":1677472819000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03804-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,14]]},"references-count":54,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["3804"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03804-w","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,14]]},"assertion":[{"value":"23 May 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 July 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declared that we have independently written programs to construct our network and performed the research and analysis of the anti-interference ability of our network.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"The authors agree to publication in the Journal of Applied Intelligence and also to publication of the article in English by Springer in Springer\u2019 s corresponding English-language journal.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Consent for Publication"}},{"value":"The authors declare that they have no conflict of interest.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of Interests"}}]}}