{"id":"https://openalex.org/W1958532962","doi":"https://doi.org/10.1109/ebccsp.2015.7300693","title":"A guide to time-resolved and parameter-free measures of spike train synchrony","display_name":"A guide to time-resolved and parameter-free measures of spike train synchrony","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1958532962","doi":"https://doi.org/10.1109/ebccsp.2015.7300693","mag":"1958532962"},"language":"en","primary_location":{"id":"doi:10.1109/ebccsp.2015.7300693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ebccsp.2015.7300693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1502.02027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mario Mulansky","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149433","display_name":"Institute for Complex Systems","ror":"https://ror.org/05rcgef49","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210149433","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Mulansky","raw_affiliation_strings":["CNR, Institute for Complex Systems, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNR, Institute for Complex Systems, Italy","institution_ids":["https://openalex.org/I4210149433"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nebojsa Bozanic","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149433","display_name":"Institute for Complex Systems","ror":"https://ror.org/05rcgef49","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210149433","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nebojsa Bozanic","raw_affiliation_strings":["CNR, Institute for Complex Systems, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNR, Institute for Complex Systems, Italy","institution_ids":["https://openalex.org/I4210149433"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andreea Sburlea","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andreea Sburlea","raw_affiliation_strings":["BitBrain Technologies, Research Department, Zaragoza, Spain","Institute of Investigation in Engineering of Aragon, I3A, University of Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BitBrain Technologies, Research Department, Zaragoza, Spain","institution_ids":[]},{"raw_affiliation_string":"Institute of Investigation in Engineering of Aragon, I3A, University of Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":null,"display_name":"Thomas Kreuz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149433","display_name":"Institute for Complex Systems","ror":"https://ror.org/05rcgef49","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210149433","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Thomas Kreuz","raw_affiliation_strings":["Istituto dei Sistemi Complessi Consiglio Nazionale delle Ricerche Sezione di Firenze, Sesto Fiorentino, Toscana, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto dei Sistemi Complessi Consiglio Nazionale delle Ricerche Sezione di Firenze, Sesto Fiorentino, Toscana, IT","institution_ids":["https://openalex.org/I4210149433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1416,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.7655866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":1.0,"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":1.0,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9990000128746033,"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9976000189781189,"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":0.9240000247955322},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.7896000146865845},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.6446999907493591},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.5784000158309937},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4869000017642975},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.4740000069141388},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.4528000056743622}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.9240000247955322},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.7896000146865845},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.6446999907493591},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.5784000158309937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5529000163078308},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.4740000069141388},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.4528000056743622},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4244999885559082},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4138000011444092},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31940001249313354},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ebccsp.2015.7300693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ebccsp.2015.7300693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1502.02027","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.02027","pdf_url":"https://arxiv.org/pdf/1502.02027","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:1502.02027","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.02027","pdf_url":"https://arxiv.org/pdf/1502.02027","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W596170837","https://openalex.org/W1538482441","https://openalex.org/W1563440782","https://openalex.org/W1817362523","https://openalex.org/W1843946745","https://openalex.org/W1971764535","https://openalex.org/W1979010540","https://openalex.org/W1982601030","https://openalex.org/W2033463771","https://openalex.org/W2037717578","https://openalex.org/W2039307446","https://openalex.org/W2042145042","https://openalex.org/W2050732456","https://openalex.org/W2071596804","https://openalex.org/W2081411433","https://openalex.org/W2100018830","https://openalex.org/W2111562869","https://openalex.org/W2114747787","https://openalex.org/W2125320262","https://openalex.org/W2132566161","https://openalex.org/W2134345866","https://openalex.org/W2136104104","https://openalex.org/W2137120069","https://openalex.org/W2139801855","https://openalex.org/W2147636049","https://openalex.org/W2147946355","https://openalex.org/W2152280100","https://openalex.org/W2152664824","https://openalex.org/W2158948112","https://openalex.org/W2546328145","https://openalex.org/W4236829104","https://openalex.org/W4239719188","https://openalex.org/W4247099329"],"related_works":[],"abstract_inverted_index":{"Measures":[0],"of":[1,65,69,87,117,131],"spike":[2,94,118,136],"train":[3],"synchrony":[4],"have":[5,29],"proven":[6],"a":[7,55,62],"valuable":[8],"tool":[9],"in":[10,33,121],"both":[11],"experimental":[12],"and":[13,25,36,53,90],"computational":[14],"neuroscience.":[15],"Particularly":[16],"useful":[17],"are":[18,111],"time-resolved":[19,45],"methods":[20],"such":[21],"as":[22,43,126],"the":[23,26,66,84,88,97,115,129],"ISI-":[24],"SPIKE-distance,":[27],"which":[28],"already":[30],"been":[31],"applied":[32],"various":[34],"bivariate":[35],"multivariate":[37],"contexts.":[38],"Recently,":[39],"SPIKE-Synchronization":[40,91],"was":[41],"proposed":[42],"another":[44],"synchronization":[46,72,116],"measure.":[47],"It":[48],"is":[49],"based":[50],"on":[51],"Event-Synchronization":[52],"has":[54],"very":[56],"intuitive":[57],"interpretation.":[58],"Here,":[59],"we":[60,76,99],"present":[61,100],"detailed":[63],"analysis":[64],"mathematical":[67],"properties":[68],"these":[70],"three":[71],"measures.":[73],"For":[74,96],"example,":[75],"were":[77],"able":[78],"to":[79],"obtain":[80],"analytic":[81],"expressions":[82],"for":[83,92,113,133],"expectation":[85,109],"values":[86,110],"ISI-distance":[89],"Poisson":[93],"trains.":[95,137],"SPIKE-distance":[98],"an":[101],"empirical":[102],"formula":[103],"deduced":[104],"from":[105],"numerical":[106,124],"evaluations.":[107],"These":[108],"crucial":[112],"interpreting":[114],"trains":[119],"measured":[120],"experiments":[122],"or":[123],"simulations,":[125],"they":[127],"represent":[128],"point":[130],"reference":[132],"fully":[134],"randomized":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2016-06-24T00:00:00"}
