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Research Article | Open Access

Visual cognition of birds and its underlying neural mechanism: A review

Xiaoke NiuaZhenyang JiangaYanyan PengaShuman HuangaZhizhong Wanga( )Li Shia,b
Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China
Department of Automation, Tsinghua University, Beijing, 100084, China
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Abstract

Birds have acute vision and many remarkable visual cognition abilities, due to their unique living environment. The underlying neural mechanisms have also attracted interests of researchers in neuroscience. Here, we firstly summarize the visual cognition abilities of birds, and make a comparison with mammals. Secondly, the underlying neural mechanisms are presented, including histological structure of avian brain and visual pathways, typical experimental results and conclusions in electrochemistry and electrophysiology. The latter mainly focuses on several higher brain areas related to visual cognition, including mesopallium ventrolaterale, entopallium, visual Wulst, and nidopallium caudolaterale. Finally, we make a conclusion and provide a suggestion about future studies on revealing the neural mechanisms of avian visual cognition. This review presents a detailed understanding of avian visual cognition and would be helpful in ornithology studies in the field of cognitive neuroscience.

References

 

Anderson, C., Johnston, M., Marrs, E.J., Porter, B., Colombo, M., 2020a. Delay activity in the Wulst of pigeons (Columba livia) represents correlates of both sample and reward information. Neurobiol. Learn. Mem. 171, 107214.

 

Anderson, C., Parra, R.S., Chapman, H., Steinemer, A., Porter, B., Colombo, M., 2020b. Pigeon nidopallium caudolaterale, entopallium, and mesopallium ventrolaterale neural responses during categorisation of Monet and Picasso paintings. Sci. Rep. 10, 15971.

 

Atoji, Y., Wild, J.M., 2012. Afferent and efferent projections of the mesopallium in the pigeon (Columba livia). J. Comp. Neurol. 520, 717-741.

 

Azizi, A.H., Pusch, R., Koenen, C., Klatt, S., Broker, F., Thiele, S., et al., 2019. Emerging category representation in the visual forebrain hierarchy of pigeons (Columba livia). Behav. Brain Res. 356, 423-434.

 

Bayer, H.M., Glimcher, P.W., 2005. Midbrain dopamine neurons encode a quantitative reward prediction error signal. Neuron 47, 129-141.

 

Behroozi, M., Helluy, X., Strockens, F., Gao, M., Pusch, R., Tabrik, S., et al., 2020. Event-related functional MRI of awake behaving pigeons at 7T. Nat. Commun. 18, 4715.

 

Behroozi, M., Strockens, F., Stacho, M., Gunturkun, O., 2017. Functional connectivity pattern of the internal hippocampal network in awake pigeons: a resting-state fMRI study. Brain Behav. Evol. 90, 62-72.

 

Berg, M.E., Grace, R.C. 2011. Categorization of multidimensional stimuli by pigeons. J. Exp. Anal. Behav. 95, 305-326.

 

Burton, R.F., 2008. The scaling of eye size in adult birds: relationship to brain, head and body sizes. Vision Res. 48, 2345-2351.

 

Campos, H.C., Debert, P., da Silva Barros, R., McIlvane, W.J., 2011. Relational discrimination by pigeons in a go/no-go procedure with compound stimuli: a methodological note. J. Exp. Anal. Behav. 96, 417-426.

 

Castro, L., Wasserman, E.A., 2013. Information-seeking behavior: exploring metacognitive control in pigeons. Anim. Cogn. 16, 241-254.

 

Cheng, S., Li, M., Yu, H., Zhao, K., Liu, S., Wan, H., 2020. Decoding pigeon behavior outcomes during goal-directed decision task by WSR functional network analysis. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 38-41.

 

Chen, J., Zou, Y., Sun, Y.H., Ten Cate, C., 2019. Problem-solving males become more attractive to female budgerigars. Science 363, 166-167.

 

Clark, W.J., Colombo, M., 2020. The functional architecture, receptive field characteristics, and representation of objects in the visual network of the pigeon brain. Prog. Neurobiol. 195, 101781.

 

Clark, W.J., Porter, B., Colombo, M., 2019. Searching for face-category representation in the avian visual forebrain. Front. Physiol. 10, 140.

 

Clayton, N.S., Emery, N.J., 2015. Avian models for human cognitive aeuroscience: a proposal. Neuron 86, 1330-1342.

 

Coello, Y., Danckert, J., Blangero, A., Rossetti, Y., 2007. Do visual illusions probe the visual brain? Illusions in action without a dorsal visual stream. Neuropsychologia 45, 1849-1858.

 

Cole, E., Chad, M., Moman, V., Mumby, D.G., 2020. A Go/No-go delayed nonmatching-to-sample procedure to measure object-recognition memory in rats. Behav. Process. 178, 104180.

 

Colombo, M., 2017. Prospective processing: behavioural and neural evidence. Jpn. J. Anim. Psychol. 67, 47-61.

 

Cook, R.G., 2000. The comparative psychology of avian visual cognition. Curr. Direct. Psychol. Sci. 9, 83-89.

 

Cook, R.G., Qadri, M.A.J., Keller, A.M., 2015. The analysis of visual cognition in birds: implications for evolution, mechanism, and representation. Psychol. Learn. Motivat. 63, 173-210.

 

Cook, R.G., Wright, A.A., Drachman, E.E., 2013. Categorization of birds, mammals, and chimeras by pigeons. Behav. Process. 93, 98-110.

 

Daniel, T.A., Cook, R.G., Katz, J.S., 2015. Temporal dynamics of task switching and abstract-concept learning in pigeons. Front. Psychol. 6, 1334.

 

Daniel, T.A., Wright, A.A., Katz, J.S., 2015. Abstract-concept learning of difference in pigeons. Anim. Cogn. 18, 831-837.

 

de Brouwer, A.J., Smeets, J.B., Gutteling, T.P., Toni, I., Medendorp, W.P., 2015. The Muller-Lyer illusion affects visuomotor updating in the dorsal visual stream. Neuropsychologia 77, 119-127.

 

de Groof, G., Jonckers, E., Gunturkun, O., Denolf, P., Van Auderkerke, J., Van der Linden, A., 2013. Functional MRI and functional connectivity of the visual system of awake pigeons. Behav. Brain Res. 239, 43-50.

 

de la Malla, C., Brenner, E., de Haan, E.H.F., Smeets, J.B.J., 2019. A visual illusion that influences perception and action through the dorsal pathway. Commun. Biol. 2, 38.

 

Ditz, H.M., Nieder, A., 2015. Neurons selective to the number of visual items in the corvid songbird endbrain. P. Natl. Acad. Sci. U. S. A. 112, 7827-7832.

 

Ditz, H.M., Nieder, A., 2016. Numerosity representations in crows obey the Weber-Fechner law. Proc. Biol. Sci. 283, 20160083.

 

Dugas-Ford, J., Ragsdale, C. W., 2015. Levels of homology and the problem of neocortex. Annu. Rev. Neurosci. 38, 351-368.

 

Emery, N.J., 2005. Cognitive ornithology: the evolution of avian intelligence. Phil. Trans. R. Soc. B. 361, 23-43.

 

Fernandez-Juricic, E., 2012. Sensory basis of vigilance behavior in birds: synthesis and future prospects. Behav. Process. 89, 143-152.

 

Fields, L., Verhave, T., Fath, S., 1984. Stimulus equivalence and transitive associations: a methodological analysis. J. Exp. Anal. Behav. 42, 143-157.

 

Frost, B.J., 2009. Bird head stabilization. Curr. Biol. 19, R315-R316.

 

Gadagkar, V., Puzerey, P.A., Chen, R., Baird-Daniel, E., Farhang, A.R., Goldberg, J.H., 2016. Dopamine neurons encode performance error in singing birds. Science 354, 1278-1282.

 

Garlick, D., Fountain, S.B., Blaisdell, A.P., 2017. Serial pattern learning in pigeons: Rule-based or associative? J. Exp. Psychol. Anim. Learn. Cogn. 43, 30-47.

 

Geers, L., Pesenti, M., Andres, M., 2018. Visual illusions modify object size estimates for prospective action judgements. Neuropsychologia 117, 211-221.

 

Guez, D., Audley, C., Hauber, M., 2013. Transitive or not: a critical appraisal of transitive inference in animals. Ethology 119, 703-726. https://doi.org/10.1111/eth.12124.

 

Gunturkun, O., Bugnyar, T., 2016. Cognition without Cortex. Trends. Cogn. Sci. 20, 291-303.

 

Gunturkun, O., Koenen, C., Iovine, F., Garland, A., Pusch, R., 2018. The neuroscience of perceptual categorization in pigeons: a mechanistic hypothesis. Learn. Behav. 46, 229-241.

 

Gunturkun, O., von Eugen, K., Packheiser, J., Pusch, R., 2021. Avian pallial circuits and cognition: a comparison to mammals. Curr. Opin. Neurobiol. 71, 29-36.

 

Hackett, S.J., Kimball, R.T., Reddy, S., Bowie, R.C., Braun, E.L., Braun, M.J., et al., 2008. A phylogenomic study of birds reveals their evolutionary history. Science 320, 1763-1768.

 

Hasselmo, M.E., 2006. The role of acetylcholine in learning and memory. Curr. Opin. Neurobiol. 16, 710-715.

 

Hedges, S.B., 2002. The origin and evolution of model organisms. Nat. Rev. Genet. 3, 838-849.

 

Herbranson, W.T., Karas, E., Hardin, G., 2017. Perception of angle in visual categorization by pigeons (Columba livia). Anim. Behav. Cogn. 4, 286-300.

 

Herrnstein, R.J., Loveland, D.H., 1964. Complex visual concept in the pigeon. Science 146, 549-551.

 

Hsiao, Y.T., Chen, T.C., Yu, P.H., Huang, D.S., Hu, F.R., Chuong, C.M., et al., 2020. Connectivity between nidopallium caudolateral and visual pathways in color perception of zebra finches. Sci. Rep. 10, 19382.

 

Jarvis, E.D., Mirarab, S., Aberer, A.J., Li, B., Houde, P., Li, C., et al., 2014. Whole-genome analyses resolve early branches in the tree of life of modern birds. Science 346, 1320-1331.

 

Johnston, M., Anderson, C., Colombo, M., 2017. Neural correlates of sample-coding and reward-coding in the delay activity of neurons in the entopallium and nidopallium caudolaterale of pigeons (Columba livia). Behav. Brain Res. 317, 382-392.

 

Karten, H.J., 2015. Vertebrate brains and evolutionary connectomics: on the origins of the mammalian 'neocortex'. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 370, 20150060-20150060.

 

Knudsen, E.I., 2018. Neural circuits that mediate selective attention: a comparative perspective. Trends. Neurosci. 41, 789-805.

 

Koenen, C., Pusch, R., Broker, F., Thiele, S., Gunturkun, O., 2016. Categories in the pigeon brain: a reverse engineering approach. J. Exp. Anal. Behav. 105, 111-122.

 

Krauzlis, R.J., Bogadhi, A.R., Herman, J.P., Bollimunta, A., 2018. Selective attention without a neocortex. Cortex 102, 161-175.

 

Krutzfeldt, N.O., Wild, J.M., 2005. Definition and novel connections of the entopallium in the pigeon (Columba livia). J. Comp. Neurol. 490, 40-56.

 

Ksepka, D.T., Balanoff, A.M., Smith, N.A., Bever, G.S., Bhullar, B.S., Bourdon, E., et al., 2020. Tempo and pattern of avian brain size evolution. Curr. Biol. 30, e2023.

 

Kumar, S., Hedges, S.B., 1998. A molecular timescale for vertebrate evolution. Nature 392, 917-920.

 

Lazareva, O.F., Smirnova, A.A., Bagozkaja, M.S., Zorina, Z.A., Rayevsky, V.V., Wasserman, E.A., 2004. Transitive responding in hooded crows requires linearly ordered stimuli. J. Exp. Anal. Behav. 82, 1-19.

 

Levenson, R.M., Krupinski, E.A., Navarro, V.M., Wasserman, E.A., 2015. Pigeons (Columba livia) as trainable observers of pathology and radiology breast cancer images. PLoS ONE 10, e0141357.

 

Liu, Y., Xin, Y., Xu, N.L., 2021. A cortical circuit mechanism for structural knowledge-based flexible sensorimotor decision-making. Neuron 109, 2009-2024.

 

Lombardi, C.M., 2007. Matching and oddity relational learning by pigeons (Columba livia): transfer from color to shape. Anim. Cognit. 11, 67-74.

 

Ma, X., Zhang, Y., Wang, L., Li, N., Barkai, E., Zhang, X., et al., 2020. The firing of theta state-related septal cholinergic neurons disrupt hippocampal ripple oscillations via muscarinic receptors. J. Neurosci. 40, 3591-3603.

 

Manns, M., Romling, J., 2012. The impact of asymmetrical light input on cerebral hemispheric specialization and interhemispheric cooperation. Nat. Commun. 3, 696.

 

Marzluff, J.M., Miyaoka, R., Minoshima, S., Cross, D.J., 2012. Brain imaging reveals neuronal circuitry underlying the crow's perception of human faces. Proc. Natl. Acad. Sci. U. S. A. 109, 15912-15917.

 

Mikolasch, S., Kotrschal, K., Schloegl, C., 2013. Transitive inference in jackdaws (Corvus monedula). Behav. Process. 92, 113-117.

 

Moll, F.W., Nieder, A., 2015. Cross-modal associative mnemonic signals in crow endbrain neurons. Curr. Biol. 25, 2196-2201.

 

Morandi-Raikova, A., Danieli, K., Lorenzi, E., Rosa-Salva, O., Mayer, U., 2021. Anatomical asymmetries in the tectofugal pathway of dark-incubated domestic chicks: Rightwards lateralization of parvalbumin neurons in the entopallium. Laterality 26, 163-185.

 

Murphy, M.S., Brooks, D.I., Cook, R.G., 2015. Pigeons use high spatial frequencies when memorizing pictures. J. Exp. Psychol. Anim. Learn. Cogn. 41, 277-285.

 

Ng, B.S., Grabska-Barwinska, A., Gunturkun, O., Jancke, D., 2010. Dominant vertical orientation processing without clustered maps: early visual brain dynamics imaged with voltage-sensitive dye in the pigeon visual Wulst. J. Neurosci. 30, 6713-6725.

 

Nieder, A., 2020. The adaptive value of numerical competence. Trends. Ecol. Evol. 35, 605-617.

 

Nieder, A., Wagener, L., Rinnert, P., 2020. A neural correlate of sensory consciousness in a corvid bird. Science 369, 1626-1629.

 

Nomoto, K., Schultz, W., Watanabe, T., Sakagami, M., 2010. Temporally extended dopamine responses to perceptually demanding reward-predictive stimuli. J. Neurosci. 30, 10692-10702.

 

Norton, J.W., Corbett, J.J., 2000. Visual perceptual abnormalities: hallucinations and illusions. Semin. Neurol. 20, 111-121.

 

Olkowicz, S., Kocourek, M., Lucan, R.K., Portes, M., Fitch, W.T., Herculano-Houzel, S., et al., 2016. Birds have primate-like numbers of neurons in the forebrain. P. Natl. Acad. Sci. U. S. A. 113, 7255-7260.

 

Ott, T., Nieder, A., 2019. Dopamine and cognitive control in prefrontal cortex. Trends. Cogn. Sci. 23, 213-234.

 

Peissig, J.J., Young, M.E., Wasserman, E.A., Biederman, I., 2005. The role of edges in object recognition by pigeons. Perception 34, 1353-1374.

 

Pepperberg, I.M., Nakayama, K., 2016. Robust representation of shape in a Grey parrot (Psittacus erithacus). Cognition 153, 146-160.

 

Punsawad, Y., Siribunyaphat, N., Wongsawat, Y., 2021. Exploration of illusory visual motion stimuli: an EEG-based brain-computer interface for practical assistive communication systems. Heliyon 7, e06457.

 

Qadri, M.A., Cook, R.G., 2015. Experimental Divergences in the Visual Cognition of Birds and Mammals. Comp. Cogn. Behav. Rev. 10, 73-105.

 

Qadri, M.A., Cook, R.G., 2017. Pigeons and humans use action and pose information to categorize complex human behaviors. Vision. Res. 131, 16-25.

 

Rinnert, P., Nieder, A., 2021. Neural code of motor planning and execution during goal-directed movements in crows. J. Neurosci. 41, 4060-4072.

 

Roberts, W.A., Macpherson, K., Strang, C., 2016. Context controls access to working and reference memory in the pigeon (Columba livia). J. Exp. Anal. Behav. 105, 184-193.

 

Rowe, M.P., 2016. 25th Annual Computational Neuroscience Meeting: CNS-2016. B.M.C. Neurosci. 17, 54.

 

Scarf, D., Boy, K., Uber Reinert, A., Devine, J., Gunturkun, O., Colombo, M., 2016a. Orthographic processing in pigeons (Columba livia). P. Natl. Acad. Sci. U. S. A. 113, 11272-11276.

 

Scarf, D., Stuart, M., Johnston, M., Colombo, M., 2016b. Visual response properties of neurons in four areas of the avian pallium. J. Comp. Physiol. A. Neuroethol. Sens. Neural Behav. Physiol. 202, 235-245.

 

Schultz, W., 1998. Predictive reward signal of dopamine neurons. J. Neurophysiol. 80, 1-27.

 

Schultz, W., 2016. Dopamine reward prediction-error signalling: a two-component response. Nat. Rev. Neurosci. 17, 183-195.

 

Shanahan, M., Bingman, V.P., Shimizu, T., Wild, M., Gunturkun, O., 2013. Large-scale network organization in the avian forebrain: a connectivity matrix and theoretical analysis. Front. Comput. Neurosci. 7, 89.

 

Sigala, N., Logothetis, N.K., 2002. Visual categorization shapes feature selectivity in the primate temporal cortex. Nature 415, 318-320.

 

Soto, F.A., Wasserman, E.A., 2011. Asymmetrical interactions in the perception of face identity and emotional expression are not unique to the primate visual system. J. Vis. 11, 24.

 

Soto, F.A., Wasserman, E.A., 2014. Mechanisms of object recognition: what we have learned from pigeons. Front. Neural Circuits 8, 122.

 

Spetch, M.L., Friedman, A., 2006. Pigeons see correspondence between objects and their pictures. Psychol. Sci. 17, 966-972.

 

Srihasam, K., Vincent, J.L., Livingstone, M.S., 2014. Novel domain formation reveals proto-architecture in inferotemporal cortex. Nat. Neurosci. 17, 1776-1783.

 

Stacho, M., Herold, C., Rook, N., Wagner, H., Axer, M., Amunts, K., et al., 2020. A cortex-like canonical circuit in the avian forebrain. Science 369, 6511.

 

Stacho, M., Strockens, F., Xiao, Q., Gunturkun, O., 2016. Functional organization of telencephalic visual association fields in pigeons. Behav. Brain Res. 303, 93-102.

 

Strockens, F., Freund, N., Manns, M., Ocklenburg, S., Gunturkun, O., 2013. Visual asymmetries and the ascending thalamofugal pathway in pigeons. Brain Struct. Funct. 218, 1197-1209.

 

Tanaka, K., 1996. Inferotemporal cortex and object vision. Annu. Rev. Neurosci. 19, 109-139.

 

Teng, Y., Vyazovska, O.V., Wasserman, E.A., 2015. Selective attention and pigeons' multiple necessary cues discrimination learning. Behav. Process. 112, 61-71.

 

Van Meir, V., Boumans, T., De Groof, G., Van Audekerke, J., Smolders, A., Scheunders, P., et al., 2005. Spatiotemporal properties of the BOLD response in the songbirds' auditory circuit during a variety of listening tasks. Neuroimage 25, 1242-1255.

 

Veit, L., Hartmann, K., Nieder, A., 2017. Spatially tuned neurons in corvid nidopallium caudolaterale signal target position during visual search. Cereb. Cortex 27, 1103-1112.

 

Veit, L., Nieder, A., 2013. Abstract rule neurons in the endbrain support intelligent behaviour in corvid songbirds. Nat. Commun. 4, 2878.

 

Verhaal, J., Kirsch, J.A., Vlachos, I., Manns, M., Gunturkun, O., 2012. Lateralized reward-related visual discrimination in the avian entopallium. Eur. J. Neurosci. 35, 1337-1343.

 

Vorobyev, M., 2003. Coloured oil droplets enhance colour discrimination. Proc. Biol. Sci. 270, 1255-1261.

 

Vyazovska, O.V., 2021. The effect of dimensional reinforcement prediction on discrimination of compound visual stimuli by pigeons. Anim. Cogn. 24, 1329-1338.

 

Vyazovska, O.V., Navarro, V.M., Wasserman, E.A., 2016. Stagewise multidimensional visual discrimination by pigeons. J. Exp. Anal. Behav. 106, 58-74.

 

Vyazovska, O.V., Teng, Y., Wasserman, E.A., 2014. Attentional tradeoffs in the pigeon. J. Exp. Anal. Behav. 101, 337-354.

 

Waelti, P., Dickinson, A., Schultz, W., 2001. Dopamine responses comply with basic assumptions of formal learning theory. Nature 412, 38-43.

 

Wang, Y.C., Jiang, S., Frost, B.J., 1993. Visual processing in pigeon nucleus rotundus: luminance, color, motion, and looming subdivisions. Vis. Neurosci. 10, 21-30.

 

Watanabe, S., 1991. Effects of ectostriatal lesions on natural concept, pseudoconcept, and artificial pattern discrimination in pigeons. Vis. Neurosci. 6, 497-506.

 

Wei, C.A., Kamil, A.C., Bond, A.B., 2014. Direct and relational representation during transitive list linking in pinyon jays (Gymnorhinus cyanocephalus). J. Comp. Psychol. 128, 1-10.

 

Wilkie, D.M., Summers, R.J., Spetch, M.L., 1981. Effect of delay-interval stimuli on delayed symbolic matching to sample in the pigeon. J. Exp. Anal. Behav. 35, 153-160.

 

Wirthlin, M., Lima, N.C.B., Guedes, R.L.M., Soares, A.E.R., Almeida, L.G.P., Cavaleiro, N.P., et al., 2018. Parrot genomes and the evolution of heightened longevity and cognition. Curr. Biol. 28, 4001-4008.

 

Wood, S.M., Wood, J.N., 2015. A chicken model for studying the emergence of invariant object recognition. Front. Neural Circuits 9, 7.

 

Wright, A.A., Cumming, W.W., 1971. Color-naming functions for the pigeon. J. Exp. Anal. Behav. 15, 7-17.

 

Wright, A.A., Delius, J.D., 2005. Learning processes in matching and oddity: the oddity preference effect and sample reinforcement. J. Exp. Psychol. Anim. Behav. Process. 31, 425-432.

 

Wylie, D.R., Pakan, J.M., Gutierrez-Ibanez, C., Iwaniuk, A.N., 2008. Expression of calcium-binding proteins in pathways from the nucleus of the basal optic root to the cerebellum in pigeons. Vis. Neurosci. 25, 701-707.

 

Xiao, Q., Frost, B.J., 2009. Looming responses of telencephalic neurons in the pigeon are modulated by optic flow. Brain Res. 1305, 40-46.

 

Xue, C., Kramer, L.E., Cohen, M.R., 2021. Dynamic task-belief is an integral part of decision-making. BioRxiv https://doi.org/10.1101/2021.04.05.438491.

 

Yang, J., Zhang, C., Wang, S.R., 2005. Comparisons of visual properties between tectal and thalamic neurons with overlapping receptive fields in the pigeon. Brain Behav. Evol. 65, 33-39.

 

Zentall, T.R., Jackson-Smith, P., Jagielo, J.A., Nallan, G.B., 1986. Categorical shape and color coding by pigeons. J. Exp. Psychol. Anim. Behav. Process. 12, 153-159.

 

Zentall, T.R., Singer, R.A., Miller, H.C., 2008. Matching-to-sample by pigeons: the dissociation of comparison choice frequency from the probability of reinforcement. Behav. Process. 78, 185-190.

 

Zhao, K., Nie, J., Yang, L., Liu, X., Shang, Z., Wan, H., 2019. Hippocampus-nidopallium caudolaterale interactions exist in the goal-directed behavior of pigeon. Brain Res. Bull. 153, 257-265.

Avian Research
Article number: 100023
Cite this article:
Niu X, Jiang Z, Peng Y, et al. Visual cognition of birds and its underlying neural mechanism: A review. Avian Research, 2022, 13(2): 100023. https://doi.org/10.1016/j.avrs.2022.100023

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Published: 24 March 2022
© 2022 The Authors.

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