{"id":"https://openalex.org/W2571182995","doi":"https://doi.org/10.1371/journal.pcbi.1005261","title":"Functionality and Robustness of Injured Connectomic Dynamics in C. elegans: Linking Behavioral Deficits to Neural Circuit Damage","display_name":"Functionality and Robustness of Injured Connectomic Dynamics in C. elegans: Linking Behavioral Deficits to Neural Circuit Damage","publication_year":2017,"publication_date":"2017-01-05","ids":{"openalex":"https://openalex.org/W2571182995","doi":"https://doi.org/10.1371/journal.pcbi.1005261","mag":"2571182995","pmid":"https://pubmed.ncbi.nlm.nih.gov/28056097"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1005261","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1005261","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005261&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005261&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037333737","display_name":"James Kunert","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"James M. Kunert","raw_affiliation_strings":["Department of Physics, University of Washington, Seattle, Washington, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070667836","display_name":"Pedro D. Maia","orcid":"https://orcid.org/0000-0002-3335-4257"},"institutions":[{"id":"https://openalex.org/I4210138199","display_name":"University of Washington Applied Physics Laboratory","ror":"https://ror.org/03d17d270","country_code":"US","type":"facility","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138199"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pedro D. Maia","raw_affiliation_strings":["Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I4210138199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083450863","display_name":"J. Nathan Kutz","orcid":"https://orcid.org/0000-0002-6004-2275"},"institutions":[{"id":"https://openalex.org/I4210138199","display_name":"University of Washington Applied Physics Laboratory","ror":"https://ror.org/03d17d270","country_code":"US","type":"facility","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138199"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Nathan Kutz","raw_affiliation_strings":["Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I4210138199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037333737","https://openalex.org/A5070667836","https://openalex.org/A5083450863"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I4210138199"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.6368,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.64046579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":"1","first_page":"e1005261","last_page":"e1005261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10676","display_name":"Genetics, Aging, and Longevity in Model Organisms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1302","display_name":"Aging"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10676","display_name":"Genetics, Aging, and Longevity in Model Organisms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1302","display_name":"Aging"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12005","display_name":"Spaceflight effects on biology","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13044","display_name":"Biofield Effects and Biophysics","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/connectomics","display_name":"Connectomics","score":0.592555820941925},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.5364044308662415},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5310500264167786},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.5100775361061096},{"id":"https://openalex.org/keywords/nerve-net","display_name":"Nerve net","score":0.47846126556396484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4526578485965729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45068588852882385},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4229486882686615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41855138540267944},{"id":"https://openalex.org/keywords/connectome","display_name":"Connectome","score":0.3410662114620209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3333764672279358},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3288097381591797},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.3241591453552246},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08899134397506714}],"concepts":[{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.592555820941925},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.5364044308662415},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5310500264167786},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.5100775361061096},{"id":"https://openalex.org/C2780196419","wikidata":"https://www.wikidata.org/wiki/Q1762173","display_name":"Nerve net","level":2,"score":0.47846126556396484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4526578485965729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45068588852882385},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4229486882686615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41855138540267944},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.3410662114620209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3333764672279358},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3288097381591797},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.3241591453552246},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08899134397506714},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000293","qualifier_name":"injuries","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000293","qualifier_name":"injuries","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000293","qualifier_name":"injuries","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D017173","descriptor_name":"Caenorhabditis elegans","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017173","descriptor_name":"Caenorhabditis elegans","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017173","descriptor_name":"Caenorhabditis elegans","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1005261","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1005261","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005261&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:28056097","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28056097","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,"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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:doaj.org/article:f00df3f8b048447ab18bb77e40d52959","is_oa":false,"landing_page_url":"https://doaj.org/article/f00df3f8b048447ab18bb77e40d52959","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 13, Iss 1, p e1005261 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4130702","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5215891","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/4520216","is_oa":true,"landing_page_url":"https://figshare.com/articles/dataset/Functionality_and_Robustness_of_Injured_Connectomic_Dynamics_in_i_C_elegans_i_Linking_Behavioral_Deficits_to_Neural_Circuit_Damage/4520216","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1005261","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1005261","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005261&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2571182995.pdf","grobid_xml":"https://content.openalex.org/works/W2571182995.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W316919195","https://openalex.org/W584140993","https://openalex.org/W875519411","https://openalex.org/W1485683953","https://openalex.org/W1628168006","https://openalex.org/W1904905451","https://openalex.org/W1934091276","https://openalex.org/W1964117773","https://openalex.org/W1966197218","https://openalex.org/W1974803102","https://openalex.org/W1977687604","https://openalex.org/W1994341528","https://openalex.org/W1996728217","https://openalex.org/W1997228791","https://openalex.org/W1998612644","https://openalex.org/W2000366874","https://openalex.org/W2006524711","https://openalex.org/W2012664119","https://openalex.org/W2015049091","https://openalex.org/W2017539895","https://openalex.org/W2019450648","https://openalex.org/W2026753216","https://openalex.org/W2027704676","https://openalex.org/W2028281435","https://openalex.org/W2029063333","https://openalex.org/W2029934068","https://openalex.org/W2035282767","https://openalex.org/W2040092971","https://openalex.org/W2042991032","https://openalex.org/W2047228161","https://openalex.org/W2060107355","https://openalex.org/W2060347354","https://openalex.org/W2060528973","https://openalex.org/W2071425128","https://openalex.org/W2073570851","https://openalex.org/W2075360394","https://openalex.org/W2076792376","https://openalex.org/W2083603307","https://openalex.org/W2083952664","https://openalex.org/W2086633615","https://openalex.org/W2090352020","https://openalex.org/W2112090702","https://openalex.org/W2112357421","https://openalex.org/W2116838881","https://openalex.org/W2132907436","https://openalex.org/W2139847243","https://openalex.org/W2141740654","https://openalex.org/W2142254043","https://openalex.org/W2147516066","https://openalex.org/W2149158842","https://openalex.org/W2157380881","https://openalex.org/W2160413407","https://openalex.org/W2325038063","https://openalex.org/W2463048358","https://openalex.org/W2585198072","https://openalex.org/W2736091234","https://openalex.org/W4231081240","https://openalex.org/W4241181595","https://openalex.org/W7053011049"],"related_works":["https://openalex.org/W3210800206","https://openalex.org/W1744057168","https://openalex.org/W2091472861","https://openalex.org/W2945607120","https://openalex.org/W2124698428","https://openalex.org/W2086448982","https://openalex.org/W112425480","https://openalex.org/W4293242064","https://openalex.org/W4296122806","https://openalex.org/W4213346111"],"abstract_inverted_index":{"Using":[0,44],"a":[1,98,111,119,123,178],"model":[2],"for":[3,126,171],"the":[4,7,13,29,57,62,71,88,105,129,146,152,164,172,187],"dynamics":[5,64,83],"of":[6,12,31,59,65,100,108,128,149,174,190],"full":[8],"somatic":[9],"nervous":[10],"system":[11],"nematode":[14],"C.":[15,66],"elegans,":[16,67],"we":[17,52,155],"address":[18],"how":[19,69,196,203],"biological":[20,200],"network":[21,72,209],"architectures":[22],"and":[23,49,202],"their":[24],"functionality":[25],"are":[26,53,116],"degraded":[27],"in":[28,151,194],"presence":[30],"focal":[32],"axonal":[33],"swellings":[34],"(FAS)":[35],"arising":[36],"from":[37,104],"neurodegenerative":[38],"disease":[39],"and/or":[40],"traumatic":[41],"brain":[42],"injury.":[43,210],"biophysically":[45],"measured":[46],"FAS":[47],"distributions":[48],"swelling":[50],"sizes,":[51],"able":[54],"to":[55,159,163],"simulate":[56],"effects":[58],"injuries":[60,150],"on":[61,110,145],"neural":[63,82],"showing":[68],"damaging":[70],"degrades":[73],"its":[74],"low-dimensional":[75,90],"dynamical":[76],"responses.":[77],"We":[78,95],"visualize":[79],"these":[80],"injured":[81],"by":[84,208],"mapping":[85],"them":[86],"onto":[87],"worm's":[89],"postures,":[91],"i.e.":[92],"eigenworm":[93],"modes.":[94],"show":[96],"that":[97,132],"diversity":[99],"functional":[101,147,180],"deficits":[102,115],"arise":[103],"same":[106],"level":[107],"injury":[109,161,176],"connectomic":[112],"network.":[113],"Functional":[114],"quantified":[117],"using":[118],"statistical":[120],"shape":[121],"analysis,":[122,125],"procrustes":[124,141],"deformations":[127],"limit":[130],"cycles":[131],"characterize":[133],"key":[134],"behaviors":[135],"such":[136],"as":[137],"forward":[138],"crawling.":[139],"This":[140,167],"metric":[142],"carries":[143],"information":[144],"outcome":[148],"model.":[153],"Furthermore,":[154],"apply":[156],"classification":[157],"trees":[158],"relate":[160],"structure":[162,173],"behavioral":[165],"outcome.":[166],"makes":[168],"testable":[169],"predictions":[170],"an":[175],"given":[177],"defined":[179],"deficit.":[181],"More":[182],"critically,":[183],"this":[184,204],"study":[185],"demonstrates":[186],"potential":[188],"role":[189],"computational":[191],"simulation":[192],"studies":[193],"understanding":[195],"neuronal":[197],"networks":[198],"process":[199],"signals,":[201],"processing":[205],"is":[206],"impacted":[207]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}