{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:30:59Z","timestamp":1780511459909,"version":"3.54.1"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T00:00:00Z","timestamp":1630368000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T00:00:00Z","timestamp":1630368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1007\/s00521-021-06446-0","type":"journal-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T07:03:20Z","timestamp":1630393400000},"page":"1123-1133","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["The Hodgkin\u2013Huxley neuron model for motion detection in image sequences"],"prefix":"10.1007","volume":"34","author":[{"given":"Hayat","family":"Yedjour","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boudjelal","family":"Meftah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dounia","family":"Yedjour","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olivier","family":"L\u00e9zoray","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,8,31]]},"reference":[{"key":"6446_CR1","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1126\/science.1546317","volume":"255","author":"TD Albright","year":"1992","unstructured":"Albright TD (1992) Form-cue invariant motion processing in primate visual cortex. Science 255:1141\u20131143","journal-title":"Science"},{"issue":"1","key":"6446_CR2","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1146\/annurev.ne.10.030187.002051","volume":"10","author":"JHR Maunsell","year":"1987","unstructured":"Maunsell JHR, Newsome WT (1987) Visual processing in monkey extrastriate cortex. Annu Rev Neurosci 10(1):363\u2013401","journal-title":"Annu Rev Neurosci"},{"key":"6446_CR3","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1016\/j.neuroimage.2015.10.059","volume":"125","author":"Z Lu","year":"2016","unstructured":"Lu Z, Li X, Meng M (2016) Encodings of implied motion for animate and inanimate object categories in the two visual pathways. Neuroimage 125:668\u2013680","journal-title":"Neuroimage"},{"key":"6446_CR4","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1016\/0006-8993(71)90494-X","volume":"35","author":"R Dubner","year":"1971","unstructured":"Dubner R, Zeki SM (1971) Response properites and receptive fields of cells in an anatomically defined region of the superior temporal sulcus in the monkey. Brain Res 35:528\u2013532","journal-title":"Brain Res"},{"issue":"174","key":"6446_CR5","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.neuroimage.2018.02.057","volume":"10","author":"RM Ruhl","year":"2018","unstructured":"Ruhl RM, Bauermann T, Dieterich M, Eulenburg PZ (2018) Functional correlate and delineated connectivity pattern of human motion after effect responses substantiate a subjacent visual-vestibular interaction. Neuroimage 10(174):22\u201334","journal-title":"Neuroimage"},{"issue":"1","key":"6446_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/cercor\/1.1.1","volume":"1","author":"DJ Felleman","year":"1991","unstructured":"Felleman DJ, Van Essen DC (1991) Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex 1(1):1\u201347","journal-title":"Cereb Cortex"},{"key":"6446_CR7","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1007\/s11055-017-0413-3","volume":"47","author":"SA Kozhukhov","year":"2017","unstructured":"Kozhukhov SA, Saltykov KA, Lazareva NA (2017) The structure of primary visual cortex neuron responses and its interaction with the dynamics of the preferred orientation. Neurosci Behav Phys 47:402","journal-title":"Neurosci Behav Phys"},{"issue":"6","key":"6446_CR8","doi-asserted-by":"publisher","first-page":"1106","DOI":"10.1152\/jn.1984.52.6.1106","volume":"52","author":"TD Albright","year":"1984","unstructured":"Albright TD (1984) Direction and orientation selectivity of neurons in visual area of the macaque. J Neurophysiol 52(6):1106\u20131130","journal-title":"J Neurophysiol"},{"key":"6446_CR9","doi-asserted-by":"crossref","unstructured":"Hubel DH, Wiesel TN (1962) Receptive fields, binocular interaction and functional architecture in the cat\u2019s visual cortex. J Physiol 160:106\u2013154","DOI":"10.1113\/jphysiol.1962.sp006837"},{"key":"6446_CR10","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1186\/s13064-018-0113-x","volume":"13","author":"A Roy","year":"2018","unstructured":"Roy A, Christie IK, Escobar GM (2018) Does experience provide a permissive or instructive influence on the development of direction selectivity in visual cortex? Neural Dev 13:16","journal-title":"Neural Dev"},{"key":"6446_CR11","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1146\/annurev.neuro.26.041002.131052","volume":"28","author":"RT Born","year":"2005","unstructured":"Born RT, Bradley DC (2005) Structure and function of visual area MT. Annu Rev Neurosci 28:157\u2013189","journal-title":"Annu Rev Neurosci"},{"issue":"2","key":"6446_CR12","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/s11062-017-9640-z","volume":"49","author":"DK Khachvankian","year":"2017","unstructured":"Khachvankian DK, Ghazaryan AL, Harutiunian-Kozak BA (2017) Expansion of visual receptive fields in the extrastriate visual cortex: dependence on the trajectory of a moving stimulus. Neurophysiology 49(2):122\u2013129","journal-title":"Neurophysiology"},{"issue":"1","key":"6446_CR13","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1068\/p030063","volume":"3","author":"K Nakayama","year":"1974","unstructured":"Nakayama K, Loomis JM (1974) Optical velocity patterns, velocity-sensitive neurons, and space perception: a hypothesis. Perception 3(1):63\u201380","journal-title":"Perception"},{"issue":"86","key":"6446_CR14","first-page":"169","volume":"16","author":"P Zarei","year":"2015","unstructured":"Zarei P, Kameneva T, Ibbotson MR (2015) The interaction between integration and segmentation neurons for motion perception. BMC Neurosci 16(86):169","journal-title":"BMC Neurosci"},{"issue":"7","key":"6446_CR15","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1093\/cercor\/7.7.662","volume":"7","author":"DK Xiao","year":"1997","unstructured":"Xiao DK, Raiguel SE, Markar V, Orban GA (1997) The spatial distribution of the antagonistic surround of MT\/V5 neurons. Cereb Cortex 7(7):662\u2013667","journal-title":"Cereb Cortex"},{"key":"6446_CR16","doi-asserted-by":"publisher","first-page":"206","DOI":"10.3389\/fnins.2018.00206","volume":"12","author":"H Wang","year":"2018","unstructured":"Wang H, Wang Z, Zhou Y, Tzvetanov T (2018) Near and Far Surround Suppression in Human Motion Discrimination. Front Neurosci 12:206","journal-title":"Front Neurosci"},{"key":"6446_CR17","doi-asserted-by":"publisher","first-page":"454","DOI":"10.3389\/fpsyg.2016.00454","volume":"7","author":"HB Turkozer","year":"2016","unstructured":"Turkozer HB, Pamir Z, Boyaci H (2016) Contrast affects fMRI activity in middle temporal cortex related to center-surround interaction in motion perception. Front Psychol 7:454","journal-title":"Front Psychol"},{"key":"6446_CR18","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.neures.2016.08.001","volume":"113","author":"Y Ohnishi","year":"2016","unstructured":"Ohnishi Y, Kawano K, Miura K (2016) Temporal impulse response function of the visual system estimated from ocular following responses in humans. Neurosci Res 113:56\u201362","journal-title":"Neurosci Res"},{"key":"6446_CR19","doi-asserted-by":"publisher","first-page":"3685","DOI":"10.1016\/S0042-6989(00)00210-8","volume":"40","author":"RL DeValois","year":"2000","unstructured":"DeValois RL, Cottaris NP, Mahon LE, Elfar SD, Wilson JA (2000) Spatial and temporal receptive fields of geniculate and cortical cells and directional selectivity. Vision Res 40:3685\u20133702","journal-title":"Vision Res"},{"key":"6446_CR20","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.neuron.2004.12.024","volume":"45","author":"NJ Priebe","year":"2005","unstructured":"Priebe NJ, Ferster D (2005) Direction selectivity of excitation and inhibition in simple cells of the cat primary visual cortex. Neuron 45:133\u2013145","journal-title":"Neuron"},{"key":"6446_CR21","doi-asserted-by":"publisher","first-page":"1515","DOI":"10.1152\/jn.1996.75.4.1515","volume":"75","author":"R Maex","year":"1996","unstructured":"Maex R, Orban GA (1996) Model circuit of spiking neurons generating directional selectivity in simple cells. J Neurophysiol 75:1515\u20131545","journal-title":"J Neurophysiol"},{"key":"6446_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep34073","volume":"6","author":"C Oluk","year":"2016","unstructured":"Oluk C, Pavan A, Kafaligonul H (2016) Rapid motion adaptation reveals the temporal dynamics of spatiotemporal correlation between ON and OFF pathways. Sci Rep 6:1\u201310","journal-title":"Sci Rep"},{"issue":"2","key":"6446_CR23","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s11063-010-9149-6","volume":"32","author":"B Meftah","year":"2010","unstructured":"Meftah B, L\u00e9zoray O, Benyettou A (2010) Segmentation and edge detection based on spiking neuron networks. Neural Process Lett 32(2):131\u2013146","journal-title":"Neural Process Lett"},{"key":"6446_CR24","first-page":"525","volume":"427","author":"Meftah B L\u00e9zoray","year":"2013","unstructured":"L\u00e9zoray Meftah B, Chaturvedi S, Khurshid A, Benyettou A (2013) Image processing with spiking neuron networks. Artif Intell Evol Comput Metaheur Stud Comput Intell 427:525\u2013544","journal-title":"Artif Intell Evol Comput Metaheur Stud Comput Intell"},{"issue":"3","key":"6446_CR25","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s10339-017-0803-z","volume":"18","author":"H Yedjour","year":"2017","unstructured":"Yedjour H, Meftah B, L\u00e9zoray AB (2017) Edge detection based on Hodgkin-Huxley neuron model simulation. Cognit Process 18(3):315\u2013323","journal-title":"Cognit Process"},{"issue":"3","key":"6446_CR26","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/s12021-014-9220-y","volume":"12","author":"M Beyeler","year":"2014","unstructured":"Beyeler M, Richert M, Dutt ND, Krichmar JL (2014) Efficient spiking neural network model of pattern motion selectivity in visual cortex. Neuroinformatics 12(3):435\u2013454","journal-title":"Neuroinformatics"},{"key":"6446_CR27","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1007\/s10489-007-0092-9","volume":"29","author":"L Risinger","year":"2008","unstructured":"Risinger L, Kaikhah K (2008) Motion detection and object tracking with discrete leaky integrate-and-fire neurons. Appl Intell 29:248\u2013262","journal-title":"Appl Intell"},{"issue":"5","key":"6446_CR28","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1016\/j.cviu.2012.01.002","volume":"116","author":"MJ Escobar","year":"2012","unstructured":"Escobar MJ, Kornprobst P (2012) Action recognition via bio-inspired features: The richness of center-surround interaction. Comput Vis Image Underst 116(5):593\u2013605","journal-title":"Comput Vis Image Underst"},{"key":"6446_CR29","doi-asserted-by":"crossref","unstructured":"Wu Q, McGinnity TM, Maguire LP, Cai J, Valderra\u2013Magonzalez GD (2008) Motion detection using spiking neural network model. In: Huang D-S, Wunsch II DC, Levine DS, Jo K-H (eds) ICIC. LNCS (LNAI), pp 76\u201383","DOI":"10.1007\/978-3-540-85984-0_10"},{"key":"6446_CR30","doi-asserted-by":"publisher","first-page":"239","DOI":"10.3389\/fnsys.2014.00239","volume":"8","author":"J Joukes","year":"2014","unstructured":"Joukes J, Hartmann TS, Krekelberg B (2014) Motion detection based on recurrent network dynamics. Front Syst Neurosci 8:239","journal-title":"Front Syst Neurosci"},{"key":"6446_CR31","doi-asserted-by":"crossref","unstructured":"Cai R, Wu Q, Wang P, Sun H, Wang Z (2012) Moving target detection and classification using spiking neural networks. In: Intelligent science and intelligent data engineering IScIDE 2011, October 23-25, 2011, Xi\u2019an, China, vol 7202","DOI":"10.1007\/978-3-642-31919-8_27"},{"key":"6446_CR32","doi-asserted-by":"crossref","unstructured":"Orchard G, Benosman R, Etienne-Cummings R, Thakor NV (2013) A spiking neural network architecture for visual motion estimation. In: IEEE biomedical circuits and systems conference (BioCAS), 31 Oct\u20132 Nov 2013, Rotterdam, Netherlands, pp 298\u2013301","DOI":"10.1109\/BioCAS.2013.6679698"},{"key":"6446_CR33","unstructured":"Yin X, Dai X, Wang X, Zhang M, Tao D, Davis L (2018) Deep motion boundary detection, CoRR arxiv:abs\/1804.04785"},{"key":"6446_CR34","doi-asserted-by":"crossref","unstructured":"Cheng J, Tsai Y, Wang S, Yang M (2017) SegFlow: joint learning for video object segmentation and optical flow. In: IEEE international conference on computer vision (ICCV)","DOI":"10.1109\/ICCV.2017.81"},{"key":"6446_CR35","doi-asserted-by":"crossref","unstructured":"Weinzaepfel P, Revaud J, Harchaoui Z, Schmid C (2015) Learning to detect motion boundaries. In: CVPR-IEEE conference on computer vision and pattern recognition, Jun 2015, Boston, United States IEEE, proceedings IEEE conference on computer vision and pattern recognition, pp 2578\u20132586","DOI":"10.1109\/CVPR.2015.7298873"},{"key":"6446_CR36","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1113\/jphysiol.1952.sp004764","volume":"117","author":"A Hodgkin","year":"1952","unstructured":"Hodgkin A, Huxley A (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117:500\u2013544","journal-title":"J Physiol"},{"issue":"1","key":"6446_CR37","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1002\/wsbm.95","volume":"3","author":"ME Nelson","year":"2011","unstructured":"Nelson ME (2011) Electrophysiological models of neural processing. Wiley Interdiscip Rev Syst Biol Med 3(1):74\u201393","journal-title":"Wiley Interdiscip Rev Syst Biol Med"},{"key":"6446_CR38","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/S0306-4522(01)00344-X","volume":"107","author":"A Destexhe","year":"2001","unstructured":"Destexhe A, Rudolph M, Fellous JM, Sejnowski T (2001) Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience 107:13\u201324","journal-title":"Neuroscience"},{"key":"6446_CR39","doi-asserted-by":"publisher","first-page":"2726","DOI":"10.1152\/jn.00550.2002","volume":"89","author":"B Conway","year":"2003","unstructured":"Conway B, Livingstone M (2003) Space-time maps and two bar interactions of different classes of direction-selective cells in macaque V1. Neurophysiology 89:2726\u20132742","journal-title":"Neurophysiology"},{"key":"6446_CR40","doi-asserted-by":"publisher","first-page":"2055","DOI":"10.1016\/j.neucom.2007.10.020","volume":"71","author":"QX Wu","year":"2008","unstructured":"Wu QX, McGinnity TM, Maguire LP, Belatreche A, Glackin B (2008) Processing visual stimuli using hierarchical spiking neural networks. Neurocomputing 71:2055\u20132068","journal-title":"Neurocomputing"},{"key":"6446_CR41","unstructured":"Petkov N, Visser WT (2005) Modifications of center\u2013surround, spot detection and dot\u2013pattern selective operators, Technical Report 2005-9-01, Institute of Mathematics and Computing Science, University of Groningen, Netherlands"},{"issue":"2","key":"6446_CR42","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1109\/TPAMI.2011.130","volume":"34","author":"S Alpert","year":"2012","unstructured":"Alpert S, Galun M, Basri R, Brandt A (2012) Image segmentation by probabilistic bottom-up aggregation and cue integration. IEEE Trans Pattern Anal Mach Intell 34(2):315\u2013327","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6446_CR43","unstructured":"Lucas D, Kanade T (1981) An iterative image registration technique with an application to stereo vision. In: Proceedings of imaging understanding workshop, pp 121\u2013130"},{"key":"6446_CR44","doi-asserted-by":"crossref","unstructured":"Prest A, Leistner C, Civera J, Schmid C, Ferrari V (2012) Learning object class detectors from weakly annotated video, In: CVPR","DOI":"10.1109\/CVPR.2012.6248065"},{"key":"6446_CR45","doi-asserted-by":"crossref","unstructured":"Karpathy A, Toderici G, Shetty S, Leung T, Sukthankar R, Fei-Fei L (2014) Large-scale video classification with convolutional neural networks. In: CVPR","DOI":"10.1109\/CVPR.2014.223"},{"issue":"5","key":"6446_CR46","first-page":"343","volume":"9","author":"H Yedjour","year":"2019","unstructured":"Yedjour H, Yedjour D, Meftah B (2019) Motion boundary detection improved by bio-inspired approach. Int J Commun Antenna Propag 9(5):343\u2013350","journal-title":"Int J Commun Antenna Propag"},{"issue":"3","key":"6446_CR47","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/S0734-189X(83)80048-6","volume":"21","author":"SM Haynes","year":"1983","unstructured":"Haynes SM, Tain R (1983) Detection of moving edges. Comput Vis Gr Image Process 21(3):345\u2013367","journal-title":"Comput Vis Gr Image Process"},{"key":"6446_CR48","doi-asserted-by":"crossref","unstructured":"Yedjour H (2021) Optical flow based on Lucas-Kanade method for motion estimation. In: M Hatti, (eds) ICAIRES 2020. Lecture Notes in networks and systems, artificial intelligence and renewables towards an energy transition, vol 174","DOI":"10.1007\/978-3-030-63846-7_92"},{"key":"6446_CR49","doi-asserted-by":"crossref","unstructured":"Butler DJ, Wulff J, Stanley GB, Black MJ (2012) A naturalistic open source movie for optical flow evaluation. In: European conference on computer vision (ECCV), pp 611\u2013625","DOI":"10.1007\/978-3-642-33783-3_44"},{"key":"6446_CR50","doi-asserted-by":"crossref","unstructured":"Geiger A, Lenz P, Urtasun R (2012) Are we ready for autonomous driving? The kitti vision benchmark suite. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 3354\u20133361","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"6446_CR51","unstructured":"Baker S, Scharstein D, Lewis JP, Roth S, Black MJ, Szeliski R (2011) A database and evaluation methodology for optical flow. In: 11th IEEE international conference on computer vision (ICCV)"},{"key":"6446_CR52","unstructured":"Martin D, Fowlkes C, Tal D, Malik J (2001) A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: IEEE international conference on computer vision (ICCV)"},{"key":"6446_CR53","doi-asserted-by":"crossref","unstructured":"Weinzaepfel P, Revaud J, Harchaoui Z, Schmid C (2013) Deepow: large displacement optical flow with deep matching. In: IEEE international conference on computer vision (ICCV), pp 1385\u20131392","DOI":"10.1109\/ICCV.2013.175"},{"key":"6446_CR54","doi-asserted-by":"crossref","unstructured":"Dosovitskiy A, Fischer P, Ilg E, Hausser P, Hazirbas C, Golkov V, Smagt P, Cremers D, Brox T(2015) Flownet: learning optical flow with convolutional networks. In: IEEE international conference on computer vision, pp 2758\u20132766","DOI":"10.1109\/ICCV.2015.316"},{"key":"6446_CR55","doi-asserted-by":"crossref","unstructured":"Xu J, Ranftl R, Koltun V (2017) Accurate optical flow via direct cost volume processing, arXiv preprint arXiv:1704.07325","DOI":"10.1109\/CVPR.2017.615"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06446-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06446-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06446-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T15:25:32Z","timestamp":1642778732000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06446-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,31]]},"references-count":55,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["6446"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06446-0","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,31]]},"assertion":[{"value":"11 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest statement.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}