{"id":"https://openalex.org/W2414850749","doi":"https://doi.org/10.1162/neco_a_01026","title":"Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model","display_name":"Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model","publication_year":2017,"publication_date":"2017-10-24","ids":{"openalex":"https://openalex.org/W2414850749","doi":"https://doi.org/10.1162/neco_a_01026","mag":"2414850749","pmid":"https://pubmed.ncbi.nlm.nih.gov/29064785"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_01026","doi":"https://doi.org/10.1162/neco_a_01026","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01026","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/neco_a_01026","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","doyens","erih-plus","jufo-3","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/neco_a_01026","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065357431","display_name":"Minkyu Choi","orcid":"https://orcid.org/0000-0001-5872-6478","observed_orcids":["https://orcid.org/0000-0001-5872-6478"]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minkyu Choi","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science                     and Technology, Daejeon, 305-701, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science                     and Technology, Daejeon, 305-701, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000727773","display_name":"Jun Tani","orcid":"https://orcid.org/0000-0002-9131-9206","observed_orcids":["https://orcid.org/0000-0002-9131-9206"]},"institutions":[{"id":"https://openalex.org/I142637625","display_name":"Okinawa Institute of Science and Technology Graduate University","ror":"https://ror.org/02qg15b79","country_code":"JP","type":"education","lineage":["https://openalex.org/I142637625"]},{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["JP","KR"],"is_corresponding":true,"raw_author_name":"Jun Tani","raw_affiliation_strings":["Okinawa Institute of Science and Technology, Okinawa, Japan 904-0495,                     and School of Electrical Engineering, Korea Advanced Institute of Science and                     Technology, Daejeon, 305-701, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Okinawa Institute of Science and Technology, Okinawa, Japan 904-0495,                     and School of Electrical Engineering, Korea Advanced Institute of Science and                     Technology, Daejeon, 305-701, Republic of Korea","institution_ids":["https://openalex.org/I142637625","https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000727773"],"corresponding_institution_ids":["https://openalex.org/I142637625","https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.8656,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76710047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"30","issue":"1","first_page":"237","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.45680001378059387,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.45680001378059387,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.3440000116825104,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.049800001084804535,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/predictive-coding","display_name":"predictive coding","score":1.0},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.8450000286102295},{"id":"https://openalex.org/keywords/spatial-and-temporal-scales","display_name":"spatial and temporal scales","score":0.8080000281333923},{"id":"https://openalex.org/keywords/functional-hierarchy","display_name":"functional hierarchy","score":0.781000018119812},{"id":"https://openalex.org/keywords/human-movement-prediction","display_name":"human movement prediction","score":0.5299999713897705},{"id":"https://openalex.org/keywords/limit-cycle-attractor","display_name":"limit cycle attractor","score":0.675000011920929},{"id":"https://openalex.org/keywords/transient-dynamics","display_name":"transient dynamics","score":0.8970000147819519},{"id":"https://openalex.org/keywords/imitation","display_name":"imitation","score":0.46399998664855957},{"id":"https://openalex.org/keywords/receptive-fields","display_name":"receptive fields","score":0.5320000052452087},{"id":"https://openalex.org/keywords/learning-dynamics","display_name":"learning dynamics","score":0.33500000834465027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7288628816604614},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7169261574745178},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.6105256080627441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014959216117859},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5705065727233887},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4817073941230774},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42991313338279724},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.4232717752456665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41558128595352173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39739474654197693},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39192765951156616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07738557457923889},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D008568","descriptor_name":"Memory","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014795","descriptor_name":"Visual Pathways","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":7,"locations":[{"id":"doi:10.1162/neco_a_01026","doi":"https://doi.org/10.1162/neco_a_01026","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01026","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/neco_a_01026","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","doyens","erih-plus","jufo-3","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:29064785","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29064785","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1708.00812","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.00812","pdf_url":"https://arxiv.org/pdf/1708.00812","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:irdb.nii.ac.jp:01076:0004376590","doi":null,"is_oa":true,"landing_page_url":"https://oist.repo.nii.ac.jp/records/1202","pdf_url":"https://oist.repo.nii.ac.jp/record/1202/files/Choi-2018-Predictive%20Coding%20for%20Dynamic%20Visual.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neural Computation","raw_type":"journal article"},{"id":"mag:2414850749","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1708.00812","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:oist.repo.nii.ac.jp:00001202","doi":null,"is_oa":true,"landing_page_url":"http://id.nii.ac.jp/1394/00001094/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402452","display_name":"Okinawa Institute of Science and Technology Graduate University (Okinawa Institute of Science and Technology Graduate University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I142637625","host_organization_name":"Okinawa Institute of Science and Technology Graduate University","host_organization_lineage":["https://openalex.org/I142637625"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01026","raw_type":"Journal Article"},{"id":"doi:10.48550/arxiv.1708.00812","doi":"https://doi.org/10.48550/arxiv.1708.00812","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1708.00812","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1162/neco_a_01026","doi":"https://doi.org/10.1162/neco_a_01026","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01026","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/neco_a_01026","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","doyens","erih-plus","jufo-3","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3353083212","display_name":null,"funder_award_id":"2014R1A2A2A01005491","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2414850749.pdf","grobid_xml":"https://content.openalex.org/works/W2414850749.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W133237934","https://openalex.org/W795759588","https://openalex.org/W1485009520","https://openalex.org/W1554646488","https://openalex.org/W1568514080","https://openalex.org/W1978406307","https://openalex.org/W1979156936","https://openalex.org/W1991495714","https://openalex.org/W2001263627","https://openalex.org/W2021306965","https://openalex.org/W2028418738","https://openalex.org/W2033226680","https://openalex.org/W2041533382","https://openalex.org/W2043369301","https://openalex.org/W2045317647","https://openalex.org/W2048196323","https://openalex.org/W2086021750","https://openalex.org/W2089029564","https://openalex.org/W2109203825","https://openalex.org/W2111947800","https://openalex.org/W2112796928","https://openalex.org/W2119885245","https://openalex.org/W2126483315","https://openalex.org/W2127958135","https://openalex.org/W2136719407","https://openalex.org/W2141200610","https://openalex.org/W2147677349","https://openalex.org/W2160891524","https://openalex.org/W2173520492","https://openalex.org/W2175711684","https://openalex.org/W2265624034","https://openalex.org/W2273348943","https://openalex.org/W2301194010","https://openalex.org/W2345211079","https://openalex.org/W2401640538","https://openalex.org/W2486533162","https://openalex.org/W2527633017","https://openalex.org/W2553496799","https://openalex.org/W2559655401","https://openalex.org/W2598133684","https://openalex.org/W2599411244","https://openalex.org/W2607662938","https://openalex.org/W2952453038","https://openalex.org/W4255949318"],"related_works":["https://openalex.org/W2735147142","https://openalex.org/W2809254666","https://openalex.org/W2599411244","https://openalex.org/W2527633017","https://openalex.org/W3130975488","https://openalex.org/W4391640579","https://openalex.org/W2617916078","https://openalex.org/W2964257237","https://openalex.org/W2912395283","https://openalex.org/W2970404015"],"abstract_inverted_index":{"This":[0],"letter":[1,102,154],"proposes":[2],"a":[3,87,92],"novel":[4],"predictive":[5,12,113,150],"coding":[6],"type":[7,94],"neural":[8,17],"network":[9,18,39,60,84],"model,":[10],"the":[11,59,75,83,118,142],"multiple":[13],"spatiotemporal":[14,35],"scales":[15],"recurrent":[16],"(P-MSTRNN).":[19],"The":[20,101,122,153],"P-MSTRNN":[21],"learns":[22],"to":[23,129],"predict":[24],"visually":[25],"perceived":[26],"human":[27],"whole-body":[28],"cyclic":[29],"movement":[30,64,131],"patterns":[31,65,132],"by":[32,41,66,72,90],"exploiting":[33],"multiscale":[34],"constraints":[36],"imposed":[37],"on":[38,117],"dynamics":[40,138,160],"using":[42],"differently":[43],"sized":[44],"receptive":[45],"fields":[46],"as":[47,49,110,112,134],"well":[48,111],"different":[50,93],"time":[51],"constant":[52],"values":[53],"for":[54],"each":[55,99],"layer.":[56,100],"After":[57],"learning,":[58],"can":[61,85],"imitate":[62],"target":[63,130],"inferring":[67],"or":[68],"recognizing":[69],"corresponding":[70,128],"intentions":[71],"means":[73],"of":[74,77,95,120,124,158],"regression":[76],"prediction":[78],"error.":[79],"Results":[80],"show":[81],"that":[82,156],"develop":[86],"functional":[88],"hierarchy":[89],"developing":[91,139],"dynamic":[96],"structure":[97],"at":[98],"examines":[103],"how":[104],"model":[105],"performance":[106,164],"during":[107,165],"pattern":[108,147],"generation,":[109],"imitation,":[114],"varies":[115],"depending":[116],"stage":[119],"learning.":[121],"number":[123],"limit":[125],"cycle":[126],"attractors":[127],"increases":[133],"learning":[135,143,167],"proceeds.":[136],"Transient":[137],"early":[140,166],"in":[141],"process":[144],"successfully":[145],"perform":[146],"generation":[148],"and":[149],"imitation":[151],"tasks.":[152],"concludes":[155],"exploitation":[157],"transient":[159],"facilitates":[161],"successful":[162],"task":[163],"periods.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}