{"id":"https://openalex.org/W3217562825","doi":"https://doi.org/10.1371/journal.pcbi.1009640","title":"Dissecting cascade computational components in spiking neural networks","display_name":"Dissecting cascade computational components in spiking neural networks","publication_year":2021,"publication_date":"2021-11-29","ids":{"openalex":"https://openalex.org/W3217562825","doi":"https://doi.org/10.1371/journal.pcbi.1009640","mag":"3217562825","pmid":"https://pubmed.ncbi.nlm.nih.gov/34843460"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1009640","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009640","pdf_url":null,"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://doi.org/10.1371/journal.pcbi.1009640","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070392551","display_name":"Shanshan Jia","orcid":"https://orcid.org/0000-0002-1204-2561"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Jia","raw_affiliation_strings":["Institute for Artificial Intelligence, Department of Computer Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1204-2561","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Department of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080006782","display_name":"Dajun Xing","orcid":"https://orcid.org/0000-0002-6953-1198"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dajun Xing","raw_affiliation_strings":["State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6953-1198","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210115644","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048087489","display_name":"Zhaofei Yu","orcid":"https://orcid.org/0000-0002-6913-7553"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaofei Yu","raw_affiliation_strings":["Institute for Artificial Intelligence, Department of Computer Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6913-7553","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Department of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001710920","display_name":"Jian K. Liu","orcid":"https://orcid.org/0000-0002-5391-7213"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jian K. Liu","raw_affiliation_strings":["School of Computing, University of Leeds, Leeds, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-5391-7213","affiliations":[{"raw_affiliation_string":"School of Computing, University of Leeds, Leeds, United Kingdom","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001710920","https://openalex.org/A5048087489"],"corresponding_institution_ids":["https://openalex.org/I130828816","https://openalex.org/I20231570"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.476,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61006565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"17","issue":"11","first_page":"e1009640","last_page":"e1009640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7167310118675232},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.6716341972351074},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5677220225334167},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.5365357995033264},{"id":"https://openalex.org/keywords/nerve-net","display_name":"Nerve net","score":0.468158483505249},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4570179283618927},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4526016116142273},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.45063796639442444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3825957179069519},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17607012391090393},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17093273997306824},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0856662392616272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167310118675232},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.6716341972351074},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5677220225334167},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.5365357995033264},{"id":"https://openalex.org/C2780196419","wikidata":"https://www.wikidata.org/wiki/Q1762173","display_name":"Nerve net","level":2,"score":0.468158483505249},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4570179283618927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4526016116142273},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.45063796639442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3825957179069519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17607012391090393},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17093273997306824},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0856662392616272},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000087642","descriptor_name":"Primary Visual Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000087642","descriptor_name":"Primary Visual Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000087642","descriptor_name":"Primary Visual Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017729","descriptor_name":"Presynaptic Terminals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017729","descriptor_name":"Presynaptic Terminals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017729","descriptor_name":"Presynaptic Terminals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1009640","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009640","pdf_url":null,"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:34843460","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34843460","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:eprints.whiterose.ac.uk:181102","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:76e3be8c75c84abf825944de9fd6deac","is_oa":true,"landing_page_url":"https://doaj.org/article/76e3be8c75c84abf825944de9fd6deac","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 17, Iss 11, p e1009640 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8659421","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8659421","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1009640","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009640","pdf_url":null,"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":[],"awards":[{"id":"https://openalex.org/G1222315707","display_name":null,"funder_award_id":"62176003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5136785144","display_name":null,"funder_award_id":"61961130392","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6844990354","display_name":null,"funder_award_id":"32171033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1838160292","https://openalex.org/W1898957235","https://openalex.org/W1902027874","https://openalex.org/W1914826726","https://openalex.org/W1968813063","https://openalex.org/W1972072039","https://openalex.org/W1977691361","https://openalex.org/W1985392528","https://openalex.org/W1993644779","https://openalex.org/W1996739924","https://openalex.org/W1999282908","https://openalex.org/W2002687731","https://openalex.org/W2013186737","https://openalex.org/W2016397514","https://openalex.org/W2035465076","https://openalex.org/W2041782669","https://openalex.org/W2042934568","https://openalex.org/W2045695914","https://openalex.org/W2055179977","https://openalex.org/W2059058130","https://openalex.org/W2068904707","https://openalex.org/W2075165262","https://openalex.org/W2075637500","https://openalex.org/W2077799289","https://openalex.org/W2079656335","https://openalex.org/W2086664483","https://openalex.org/W2094045132","https://openalex.org/W2101567517","https://openalex.org/W2105107100","https://openalex.org/W2106566258","https://openalex.org/W2108433027","https://openalex.org/W2108598243","https://openalex.org/W2109584604","https://openalex.org/W2112455917","https://openalex.org/W2117663940","https://openalex.org/W2121289914","https://openalex.org/W2131220353","https://openalex.org/W2142858796","https://openalex.org/W2149208048","https://openalex.org/W2158146385","https://openalex.org/W2158951270","https://openalex.org/W2160938187","https://openalex.org/W2166507263","https://openalex.org/W2168103112","https://openalex.org/W2172122397","https://openalex.org/W2178225550","https://openalex.org/W2231009150","https://openalex.org/W2317544004","https://openalex.org/W2327209428","https://openalex.org/W2342354792","https://openalex.org/W2397643408","https://openalex.org/W2399541021","https://openalex.org/W2499653599","https://openalex.org/W2507056580","https://openalex.org/W2521672587","https://openalex.org/W2547554208","https://openalex.org/W2559748052","https://openalex.org/W2736874493","https://openalex.org/W2738724892","https://openalex.org/W2744112845","https://openalex.org/W2744478946","https://openalex.org/W2797233320","https://openalex.org/W2800311957","https://openalex.org/W2807237659","https://openalex.org/W2921749410","https://openalex.org/W2949285482","https://openalex.org/W2949808130","https://openalex.org/W2957970547","https://openalex.org/W2959021479","https://openalex.org/W2976024218","https://openalex.org/W2989911594","https://openalex.org/W2995053202","https://openalex.org/W3015863411","https://openalex.org/W3018600593","https://openalex.org/W3035020505","https://openalex.org/W3044691156","https://openalex.org/W3074800573","https://openalex.org/W3082552984","https://openalex.org/W3119605110","https://openalex.org/W3127506902","https://openalex.org/W3133698431","https://openalex.org/W3141901980","https://openalex.org/W3173266370","https://openalex.org/W3184452233","https://openalex.org/W3197647640","https://openalex.org/W3200951067","https://openalex.org/W4211091012","https://openalex.org/W4212952892","https://openalex.org/W4233714438","https://openalex.org/W4245474015","https://openalex.org/W4292676217"],"related_works":["https://openalex.org/W2598736099","https://openalex.org/W1550124299","https://openalex.org/W2004388933","https://openalex.org/W2141320069","https://openalex.org/W2123745704","https://openalex.org/W4400838272","https://openalex.org/W2092321601","https://openalex.org/W3127234656","https://openalex.org/W2806767148","https://openalex.org/W2732659671"],"abstract_inverted_index":{"Finding":[0],"out":[1,80],"the":[2,47,150,181,190],"physical":[3],"structure":[4,49],"of":[5,27,50,66,117,149,160,165,180,192],"neuronal":[6,10,29,209,214],"circuits":[7,51],"that":[8,85,99,130,200],"governs":[9],"responses":[11],"is":[12,91,132],"an":[13],"important":[14],"goal":[15],"for":[16,22,45,207],"brain":[17],"research.":[18],"With":[19],"fast":[20],"advances":[21],"large-scale":[23],"recording":[24],"techniques,":[25],"identification":[26],"a":[28,67,71,81,88,93,100,133,141,156,204],"circuit":[30,84,158],"with":[31,121],"multiple":[32],"neurons":[33,69,125,148],"and":[34,40,74,126,177],"stages":[35],"or":[36],"layers":[37],"becomes":[38],"possible":[39],"highly":[41],"demanding.":[42],"Although":[43],"methods":[44],"mapping":[46,79],"connection":[48],"have":[52],"been":[53],"greatly":[54],"developed":[55],"in":[56,70],"recent":[57,101],"years,":[58],"they":[59],"are":[60],"mostly":[61],"limited":[62],"to":[63,87,136,188],"simple":[64,176],"scenarios":[65,116],"few":[68],"pairwise":[72],"fashion;":[73],"dissecting":[75],"dynamical":[76],"circuits,":[77],"particularly":[78],"complete":[82,157],"functional":[83,138,213],"converges":[86],"single":[89],"neuron,":[90],"still":[92],"challenging":[94],"question.":[95],"Here,":[96],"we":[97,128],"show":[98],"method,":[102],"termed":[103],"spike-triggered":[104],"non-negative":[105],"matrix":[106],"factorization":[107],"(STNMF),":[108],"can":[109,154],"address":[110],"these":[111,197],"issues.":[112],"By":[113],"simulating":[114],"different":[115],"spiking":[118,144,172],"neural":[119],"networks":[120],"various":[122],"connections":[123,139],"between":[124],"stages,":[127],"demonstrate":[129],"STNMF":[131,153,185,201],"persuasive":[134],"method":[135],"dissect":[137,189],"within":[140],"circuit.":[142],"Using":[143],"activities":[145],"recorded":[146,212],"at":[147],"output":[151],"layer,":[152],"obtain":[155],"consisting":[159],"all":[161],"cascade":[162],"computational":[163],"components":[164],"presynaptic":[166],"neurons,":[167],"as":[168,170],"well":[169],"their":[171],"activities.":[173],"For":[174],"simulated":[175],"complex":[178],"cells":[179],"primary":[182],"visual":[183,193],"cortex,":[184],"allows":[186],"us":[187],"pathway":[191],"computation.":[194],"Taken":[195],"together,":[196],"results":[198],"suggest":[199],"could":[202],"provide":[203],"useful":[205],"approach":[206],"investigating":[208],"systems":[210],"leveraging":[211],"activity.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}