{"id":"https://openalex.org/W2542400745","doi":"https://doi.org/10.1209/0295-5075/115/68002","title":"Noise-induced interspike interval correlations and spike train regularization in spike-triggered adapting neurons","display_name":"Noise-induced interspike interval correlations and spike train regularization in spike-triggered adapting neurons","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2542400745","doi":"https://doi.org/10.1209/0295-5075/115/68002","mag":"2542400745"},"language":"en","primary_location":{"id":"doi:10.1209/0295-5075/115/68002","doi":"https://doi.org/10.1209/0295-5075/115/68002","is_oa":false,"landing_page_url":"https://doi.org/10.1209/0295-5075/115/68002","pdf_url":null,"source":{"id":"https://openalex.org/S161185981","display_name":"Europhysics Letters (EPL)","issn_l":"0295-5075","issn":["0295-5075","1286-4854"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310311669","host_organization_name":"Institute of Physics","host_organization_lineage":["https://openalex.org/P4310311669"],"host_organization_lineage_names":["Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPL (Europhysics Letters)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1610.09193","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027931249","display_name":"Eugenio Urdapilleta","orcid":"https://orcid.org/0000-0002-1656-3188","observed_orcids":["https://orcid.org/0000-0002-1656-3188"]},"institutions":[{"id":"https://openalex.org/I2883434090","display_name":"Bariloche Atomic Centre","ror":"https://ror.org/05m802881","country_code":"AR","type":"facility","lineage":["https://openalex.org/I2883434090","https://openalex.org/I9340077"]}],"countries":["AR"],"is_corresponding":true,"raw_author_name":"Eugenio Urdapilleta","raw_affiliation_strings":["Divisi\u00f3n de F\u00edsica Estad\u00edstica e Interdisciplinaria, Centro At\u00f3mico Bariloche - Av. E. Bustillo Km 9.500, S. C. de Bariloche (8400), R\u00edo Negro, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Divisi\u00f3n de F\u00edsica Estad\u00edstica e Interdisciplinaria, Centro At\u00f3mico Bariloche - Av. E. Bustillo Km 9.500, S. C. de Bariloche (8400), R\u00edo Negro, Argentina","institution_ids":["https://openalex.org/I2883434090"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027931249"],"corresponding_institution_ids":["https://openalex.org/I2883434090"],"apc_list":{"value":1895,"currency":"USD","value_usd":1895},"apc_paid":null,"fwci":0.3045,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.5188253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":"115","issue":"6","first_page":"68002","last_page":"68002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.0203000009059906,"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/T11520","display_name":"Advanced Thermodynamics and Statistical Mechanics","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spike-train-statistics","display_name":"spike train statistics","score":0.7129999995231628},{"id":"https://openalex.org/keywords/firing-rate","display_name":"firing rate","score":0.5490000247955322},{"id":"https://openalex.org/keywords/neuron-models","display_name":"neuron models","score":0.3709999918937683}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7750999927520752},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.7615000009536743},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.6908000111579895},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5774000287055969},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4620000123977661},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.460099995136261},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.429500013589859},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.40139999985694885},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C156465305","wikidata":"https://www.wikidata.org/wiki/Q1658601","display_name":"Subthreshold conduction","level":4,"score":0.3856000006198883},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.35670000314712524},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3375000059604645},{"id":"https://openalex.org/C186659197","wikidata":"https://www.wikidata.org/wiki/Q5452195","display_name":"First-hitting-time model","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29980000853538513},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.2994000017642975},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29829999804496765},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C142806159","wikidata":"https://www.wikidata.org/wiki/Q7646876","display_name":"Surrogate data","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2621000111103058}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1209/0295-5075/115/68002","doi":"https://doi.org/10.1209/0295-5075/115/68002","is_oa":false,"landing_page_url":"https://doi.org/10.1209/0295-5075/115/68002","pdf_url":null,"source":{"id":"https://openalex.org/S161185981","display_name":"Europhysics Letters (EPL)","issn_l":"0295-5075","issn":["0295-5075","1286-4854"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310311669","host_organization_name":"Institute of Physics","host_organization_lineage":["https://openalex.org/P4310311669"],"host_organization_lineage_names":["Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPL (Europhysics Letters)","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1610.09193","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1610.09193","pdf_url":"https://arxiv.org/pdf/1610.09193","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:edpsciences.org:dkey/10.1209/0295-5075/115/68002","doi":null,"is_oa":false,"landing_page_url":"https://epljournal.edpsciences.org/10.1209/0295-5075/115/68002/pdf","pdf_url":"https://epljournal.edpsciences.org/10.1209/0295-5075/115/68002/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1209/0295-5075/115/68002","raw_type":"Text"},{"id":"pmh:oai:americanae.aecid.es:3885331","doi":null,"is_oa":true,"landing_page_url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3885331","pdf_url":null,"source":{"id":"https://openalex.org/S4306400786","display_name":"Americanae (AECID Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:CONICET Digital (CONICET)","raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"pmh:oai:ri.conicet.gov.ar:11336/79005","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11336/79005","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:CONICET Digital (CONICET)","raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"doi:10.48550/arxiv.1610.09193","doi":"https://doi.org/10.48550/arxiv.1610.09193","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1610.09193","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":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1610.09193","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1610.09193","pdf_url":"https://arxiv.org/pdf/1610.09193","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"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2542400745.pdf","grobid_xml":"https://content.openalex.org/works/W2542400745.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W74448124","https://openalex.org/W1497599289","https://openalex.org/W1507354588","https://openalex.org/W1964812021","https://openalex.org/W1966337493","https://openalex.org/W1972768882","https://openalex.org/W1974404366","https://openalex.org/W1976597507","https://openalex.org/W1986263245","https://openalex.org/W1992222345","https://openalex.org/W1997755397","https://openalex.org/W2020285738","https://openalex.org/W2025222599","https://openalex.org/W2027173466","https://openalex.org/W2035845442","https://openalex.org/W2046043350","https://openalex.org/W2048528277","https://openalex.org/W2059014916","https://openalex.org/W2059690890","https://openalex.org/W2062751232","https://openalex.org/W2067244657","https://openalex.org/W2071250994","https://openalex.org/W2072334497","https://openalex.org/W2075289371","https://openalex.org/W2089024430","https://openalex.org/W2093615513","https://openalex.org/W2094677279","https://openalex.org/W2102591969","https://openalex.org/W2109596721","https://openalex.org/W2110316244","https://openalex.org/W2112136490","https://openalex.org/W2120259469","https://openalex.org/W2122939427","https://openalex.org/W2126945096","https://openalex.org/W2127610235","https://openalex.org/W2129215356","https://openalex.org/W2135164608","https://openalex.org/W2138145511","https://openalex.org/W2138704896","https://openalex.org/W2153201079","https://openalex.org/W2159723961","https://openalex.org/W2167100341","https://openalex.org/W2280597170","https://openalex.org/W2321124279","https://openalex.org/W4231081240","https://openalex.org/W4285719527","https://openalex.org/W4300126076"],"related_works":["https://openalex.org/W2167100341","https://openalex.org/W3193863977","https://openalex.org/W2160731882","https://openalex.org/W2046043350","https://openalex.org/W2323345289","https://openalex.org/W6960038637","https://openalex.org/W2089024430","https://openalex.org/W7100625944","https://openalex.org/W2126945096","https://openalex.org/W2047698765"],"abstract_inverted_index":{"Spike":[0],"generation":[1],"in":[2,58,72,101,121,138],"neurons":[3],"produces":[4],"a":[5,30,64,73,88,102,136,147],"temporal":[6,32],"point":[7],"process,":[8],"whose":[9],"statistics":[10,52,145],"is":[11,93],"governed":[12],"by":[13,95,117],"intrinsic":[14],"phenomena":[15],"and":[16,113],"the":[17,39,51,84,96,105,139,142],"external":[18],"incoming":[19],"inputs":[20],"to":[21,43],"be":[22],"coded.":[23],"In":[24,46],"particular,":[25],"spike-evoked":[26],"adaptation":[27,75,97],"currents":[28],"support":[29],"slow":[31],"process":[33],"that":[34,67,79],"conditions":[35],"spiking":[36],"probability":[37],"at":[38,87,129,146],"present":[40],"time":[41],"according":[42],"past":[44],"activity.":[45],"this":[47,109,122,132],"work,":[48],"we":[49],"study":[50],"of":[53,141],"interspike":[54,124],"interval":[55],"correlations":[56,80],"arising":[57],"such":[59],"non-renewal":[60],"spike":[61,70,143],"trains,":[62],"for":[63],"neuron":[65,85,106],"model":[66],"reproduces":[68],"different":[69],"modes":[71],"small":[74],"scenario.":[76],"We":[77],"found":[78],"are":[81,126],"stronger":[82],"as":[83],"fires":[86],"particular":[89,110],"firing":[90,111],"rate,":[91,112],"which":[92],"defined":[94],"process.":[98],"When":[99],"set":[100],"subthreshold":[103],"regime,":[104,123],"may":[107],"sustain":[108],"thus":[114],"induce":[115],"correlations,":[116],"noise.":[118],"Given":[119],"that,":[120],"intervals":[125],"negatively":[127],"correlated":[128],"any":[130],"lag,":[131],"effect":[133],"surprisingly":[134],"implies":[135],"reduction":[137],"variability":[140],"count":[144],"finite":[148],"noise":[149],"intensity.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-11-04T00:00:00"}