{"id":"https://openalex.org/W2071596804","doi":"https://doi.org/10.1162/neco_a_00545","title":"A New Class of Metrics for Spike Trains","display_name":"A New Class of Metrics for Spike Trains","publication_year":2013,"publication_date":"2013-11-09","ids":{"openalex":"https://openalex.org/W2071596804","doi":"https://doi.org/10.1162/neco_a_00545","mag":"2071596804","pmid":"https://pubmed.ncbi.nlm.nih.gov/24206385"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00545","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00545","pdf_url":null,"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,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1209.2918","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"C\u0103t\u0103lin V. Rusu","orcid":null},"institutions":[{"id":"https://openalex.org/I2801628138","display_name":"Frankfurt Institute for Advanced Studies","ror":"https://ror.org/05vmv8m79","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2801628138"]},{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]},{"id":"https://openalex.org/I4210141787","display_name":"Romanian Institute of Science and Technology","ror":"https://ror.org/04dchsd96","country_code":"RO","type":"nonprofit","lineage":["https://openalex.org/I4210141787"]}],"countries":["DE","RO"],"is_corresponding":false,"raw_author_name":"C\u0103t\u0103lin V. Rusu","raw_affiliation_strings":["Center for Cognitive and Neural Studies (Coneural), Romanian Institute of Science and Technology, 400487 Cluj-Napoca, Romania; Computer Science Department, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania; and Frankfurt Institute for Advanced Studies, 60438 Frankfurt am Main, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Cognitive and Neural Studies (Coneural), Romanian Institute of Science and Technology, 400487 Cluj-Napoca, Romania; Computer Science Department, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania; and Frankfurt Institute for Advanced Studies, 60438 Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I2801628138","https://openalex.org/I4210141787","https://openalex.org/I3125347698"]}]},{"author_position":"last","author":{"id":null,"display_name":"R\u0103zvan V. Florian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141787","display_name":"Romanian Institute of Science and Technology","ror":"https://ror.org/04dchsd96","country_code":"RO","type":"nonprofit","lineage":["https://openalex.org/I4210141787"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"R\u0103zvan V. Florian","raw_affiliation_strings":["Center for Cognitive and Neural Studies (Coneural), Romanian Institute of Science and Technology, 400487 Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Cognitive and Neural Studies (Coneural), Romanian Institute of Science and Technology, 400487 Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I4210141787"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.077,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.76297295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"2","first_page":"306","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9078999757766724,"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":0.9078999757766724,"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":0.043699998408555984,"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.004399999976158142,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/spike","display_name":"Spike (software development)","score":0.9480000138282776},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.8040000200271606},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.7138000130653381},{"id":"https://openalex.org/keywords/carry","display_name":"Carry (investment)","score":0.5483999848365784},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4803999960422516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41370001435279846},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.38429999351501465}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.9480000138282776},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.8040000200271606},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.7138000130653381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857999920845032},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.5483999848365784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5141000151634216},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4803999960422516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4153999984264374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35109999775886536},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C3832189","wikidata":"https://www.wikidata.org/wiki/Q8588916","display_name":"Models of neural computation","level":3,"score":0.31859999895095825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.257999986410141},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C193386753","wikidata":"https://www.wikidata.org/wiki/Q1130396","display_name":"Approximations of \u03c0","level":2,"score":0.2558000087738037}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1162/neco_a_00545","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00545","pdf_url":null,"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,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"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:24206385","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24206385","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":"Neural computation","raw_type":null},{"id":"pmh:oai:arXiv.org:1209.2918","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1209.2918","pdf_url":"https://arxiv.org/pdf/1209.2918","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1209.2918","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1209.2918","pdf_url":"https://arxiv.org/pdf/1209.2918","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1512200437","https://openalex.org/W1580901834","https://openalex.org/W1843946745","https://openalex.org/W1885775399","https://openalex.org/W1971764535","https://openalex.org/W2001465022","https://openalex.org/W2033463771","https://openalex.org/W2046943246","https://openalex.org/W2050732456","https://openalex.org/W2056756835","https://openalex.org/W2100018830","https://openalex.org/W2107696819","https://openalex.org/W2111562869","https://openalex.org/W2116356678","https://openalex.org/W2125416511","https://openalex.org/W2137120069","https://openalex.org/W2139903462","https://openalex.org/W2140362090","https://openalex.org/W2145117823","https://openalex.org/W2150930856","https://openalex.org/W2152280100","https://openalex.org/W2152637387","https://openalex.org/W2152664824","https://openalex.org/W2158948112","https://openalex.org/W2159639847","https://openalex.org/W2160904011","https://openalex.org/W2161263036","https://openalex.org/W2165826831","https://openalex.org/W2168101731","https://openalex.org/W2170295149","https://openalex.org/W2883283267","https://openalex.org/W4300958603"],"related_works":[],"abstract_inverted_index":{"The":[0,72,107],"distance":[1,65],"between":[2,11,83,157],"a":[3,22,101,120,165,171],"pair":[4],"of":[5,25,41,58,98,130,142,153],"spike":[6,26,84,135,158,175],"trains,":[7],"quantifying":[8],"the":[9,31,48,62,67,75,93,96,128,133,143,149,155],"differences":[10,156],"them,":[12],"can":[13,116],"be":[14,117],"measured":[15],"using":[16,119],"various":[17],"metrics.":[18,39],"Here":[19],"we":[20],"introduce":[21,139],"new":[23,43,144],"class":[24],"train":[27],"metrics,":[28,145],"inspired":[29],"by":[30,170],"Pompeiu-Hausdorff":[32],"distance,":[33],"and":[34,47,69,74,95,115],"compare":[35],"them":[36],"with":[37],"existing":[38],"Some":[40],"our":[42],"metrics":[44,60],"(the":[45],"modulus-metric":[46,73,108],"max-metric)":[49],"have":[50,148],"characteristics":[51],"that":[52],"are":[53,77,162],"qualitatively":[54],"different":[55],"from":[56],"those":[57],"classical":[59],"like":[61],"van":[63],"Rossum":[64],"or":[66],"Victor":[68],"Purpura":[70],"distance.":[71],"max-metric":[76],"particularly":[78],"suitable":[79],"for":[80],"measuring":[81,154],"distances":[82],"trains":[85,159],"where":[86],"information":[87],"is":[88],"encoded":[89],"in":[90,132,168],"bursts,":[91],"but":[92],"number":[94,129],"timing":[97],"spikes":[99,131],"inside":[100],"burst":[102],"do":[103],"not":[104,110],"carry":[105],"information.":[106],"does":[109],"depend":[111],"on":[112,127],"any":[113],"parameters":[114],"computed":[118],"fast":[121],"algorithm":[122],"whose":[123],"time":[124,169],"depends":[125],"linearly":[126],"two":[134],"trains.":[136,176],"We":[137],"also":[138],"localized":[140],"versions":[141],"which":[146],"could":[147],"biologically":[150],"relevant":[151],"interpretation":[152],"as":[160],"they":[161],"perceived":[163],"at":[164],"particular":[166],"moment":[167],"neuron":[172],"receiving":[173],"these":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}