{"id":"https://openalex.org/W2168022420","doi":"https://doi.org/10.1162/neco.2010.06-09-1036","title":"Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations","display_name":"Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations","publication_year":2010,"publication_date":"2010-01-25","ids":{"openalex":"https://openalex.org/W2168022420","doi":"https://doi.org/10.1162/neco.2010.06-09-1036","mag":"2168022420","pmid":"https://pubmed.ncbi.nlm.nih.gov/20100073"},"language":"en","primary_location":{"id":"doi:10.1162/neco.2010.06-09-1036","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco.2010.06-09-1036","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":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073561258","display_name":"Rub\u00e9n Moreno\u2010Bote","orcid":"https://orcid.org/0000-0003-0398-014X"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]},{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Rub\u00e9n Moreno-Bote","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, University of Rochester, Rochester, New York, 14627, U.S.A., and Departamento de F\u00edsica Te\u00f3rica, Universidad Aut\u00f3noma de Madrid, Cantoblanco 28049, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, University of Rochester, Rochester, New York, 14627, U.S.A., and Departamento de F\u00edsica Te\u00f3rica, Universidad Aut\u00f3noma de Madrid, Cantoblanco 28049, Madrid, Spain","institution_ids":["https://openalex.org/I63634437","https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047074677","display_name":"N\u00e9stor Parga","orcid":"https://orcid.org/0000-0002-0214-5954"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"N\u00e9stor Parga","raw_affiliation_strings":["Departamento de F\u00edsica Te\u00f3rica, Universidad Aut\u00f3noma de Madrid, Cantoblanco 29049, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de F\u00edsica Te\u00f3rica, Universidad Aut\u00f3noma de Madrid, Cantoblanco 29049, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047074677"],"corresponding_institution_ids":["https://openalex.org/I63634437"],"apc_list":null,"apc_paid":null,"fwci":1.4732,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.82150106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"6","first_page":"1528","last_page":"1572"},"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/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9986000061035156,"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/physics","display_name":"Physics","score":0.5223454236984253},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.4998934268951416},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.476071298122406},{"id":"https://openalex.org/keywords/synapse","display_name":"Synapse","score":0.46038365364074707},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.44657814502716064},{"id":"https://openalex.org/keywords/soma","display_name":"Soma","score":0.425595223903656},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.4239575266838074},{"id":"https://openalex.org/keywords/ampa-receptor","display_name":"AMPA receptor","score":0.41416260600090027},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.39871734380722046},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.339202344417572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27825525403022766},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.2206878364086151},{"id":"https://openalex.org/keywords/nmda-receptor","display_name":"NMDA receptor","score":0.21390622854232788},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15435805916786194},{"id":"https://openalex.org/keywords/receptor","display_name":"Receptor","score":0.12259212136268616}],"concepts":[{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5223454236984253},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.4998934268951416},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.476071298122406},{"id":"https://openalex.org/C127445978","wikidata":"https://www.wikidata.org/wiki/Q187181","display_name":"Synapse","level":2,"score":0.46038365364074707},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.44657814502716064},{"id":"https://openalex.org/C2779617337","wikidata":"https://www.wikidata.org/wiki/Q842429","display_name":"Soma","level":2,"score":0.425595223903656},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.4239575266838074},{"id":"https://openalex.org/C160268369","wikidata":"https://www.wikidata.org/wiki/Q295251","display_name":"AMPA receptor","level":4,"score":0.41416260600090027},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.39871734380722046},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.339202344417572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27825525403022766},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.2206878364086151},{"id":"https://openalex.org/C67018056","wikidata":"https://www.wikidata.org/wiki/Q414896","display_name":"NMDA receptor","level":3,"score":0.21390622854232788},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15435805916786194},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.12259212136268616},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","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":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009435","descriptor_name":"Synaptic Transmission","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009435","descriptor_name":"Synaptic Transmission","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009435","descriptor_name":"Synaptic Transmission","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011930","descriptor_name":"Reaction Time","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011930","descriptor_name":"Reaction Time","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011930","descriptor_name":"Reaction Time","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013570","descriptor_name":"Synaptic Membranes","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013570","descriptor_name":"Synaptic Membranes","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013570","descriptor_name":"Synaptic Membranes","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017981","descriptor_name":"Receptors, Neurotransmitter","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017981","descriptor_name":"Receptors, Neurotransmitter","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017981","descriptor_name":"Receptors, Neurotransmitter","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D055366","descriptor_name":"Synaptic Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D055366","descriptor_name":"Synaptic Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D055366","descriptor_name":"Synaptic Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D055641","descriptor_name":"Mathematical Concepts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055641","descriptor_name":"Mathematical Concepts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055641","descriptor_name":"Mathematical Concepts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1162/neco.2010.06-09-1036","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco.2010.06-09-1036","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:20100073","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20100073","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1501360999","https://openalex.org/W1507354588","https://openalex.org/W1543386112","https://openalex.org/W1576971765","https://openalex.org/W1599325783","https://openalex.org/W1623755432","https://openalex.org/W1657347807","https://openalex.org/W1784249437","https://openalex.org/W1825044724","https://openalex.org/W1973327463","https://openalex.org/W1973752972","https://openalex.org/W1974436068","https://openalex.org/W1974696800","https://openalex.org/W1976065213","https://openalex.org/W1984909609","https://openalex.org/W1988381993","https://openalex.org/W1989843341","https://openalex.org/W1993391624","https://openalex.org/W1993578154","https://openalex.org/W1998504251","https://openalex.org/W2000913520","https://openalex.org/W2015505597","https://openalex.org/W2019667433","https://openalex.org/W2026130366","https://openalex.org/W2029691173","https://openalex.org/W2029782028","https://openalex.org/W2039755641","https://openalex.org/W2042067913","https://openalex.org/W2042674880","https://openalex.org/W2042867730","https://openalex.org/W2044972684","https://openalex.org/W2046756894","https://openalex.org/W2052202414","https://openalex.org/W2055067924","https://openalex.org/W2055718420","https://openalex.org/W2067244657","https://openalex.org/W2069519142","https://openalex.org/W2072413244","https://openalex.org/W2075289371","https://openalex.org/W2081019930","https://openalex.org/W2084379849","https://openalex.org/W2094213774","https://openalex.org/W2095768716","https://openalex.org/W2097706437","https://openalex.org/W2099338889","https://openalex.org/W2103860306","https://openalex.org/W2105071895","https://openalex.org/W2114849571","https://openalex.org/W2130784302","https://openalex.org/W2131423842","https://openalex.org/W2132436234","https://openalex.org/W2136577377","https://openalex.org/W2139975927","https://openalex.org/W2145036121","https://openalex.org/W2145654105","https://openalex.org/W2147623729","https://openalex.org/W2151176499","https://openalex.org/W2152564840","https://openalex.org/W2152896566","https://openalex.org/W2156432573","https://openalex.org/W2158424806","https://openalex.org/W2161983882","https://openalex.org/W2162515722","https://openalex.org/W2166639038","https://openalex.org/W2170597136","https://openalex.org/W2486023113","https://openalex.org/W4240788980","https://openalex.org/W4252175870","https://openalex.org/W4300126076"],"related_works":["https://openalex.org/W2005273706","https://openalex.org/W2574916219","https://openalex.org/W1989029344","https://openalex.org/W2485746325","https://openalex.org/W2132631226","https://openalex.org/W312350839","https://openalex.org/W2020346834","https://openalex.org/W2317916887","https://openalex.org/W2413264651","https://openalex.org/W2377429029"],"abstract_inverted_index":{"Delivery":[0],"of":[1,20,30,57,60,64,86,92,121,153,173,189,207,217,243,254,262,269,272,300,322,325],"neurotransmitter":[2],"produces":[3],"on":[4,34,97,103,107],"a":[5,7,42,48,113,251,319],"synapse":[6],"current":[8,32],"that":[9,268,279,292,316],"flows":[10],"through":[11],"the":[12,18,21,31,35,58,68,84,93,98,117,186,199,234,244,255,260,263,270,273,280,287,293,301,323],"membrane":[13],"and":[14,39,150,229],"gets":[15],"transmitted":[16],"into":[17],"soma":[19],"neuron,":[22,70],"where":[23],"it":[24,249,275],"is":[25,71,81,83,219,224,237,247,276,307],"integrated.":[26],"The":[27,55,142,179,202,222,298],"decay":[28],"time":[29,196,282],"depends":[33],"synaptic":[36,61,109,134,174,195,245,281,330],"receptor's":[37],"type":[38],"ranges":[40],"from":[41],"few":[43,49],"(e.g.,":[44,52],"AMPA":[45],"receptors)":[46],"to":[47,79,145,159,163,170,267],"hundred":[50],"milliseconds":[51],"NMDA":[53],"receptors).":[54],"role":[56],"variety":[59],"timescales,":[62],"several":[63],"them":[65],"coexisting":[66],"in":[67],"same":[69],"at":[72,89,240],"present":[73],"not":[74,157,277],"understood.":[75],"A":[76],"prime":[77],"question":[78],"answer":[80],"which":[82],"effect":[85],"temporal":[87],"filtering":[88,175],"different":[90],"timescales":[91,246,261],"incoming":[94],"spike":[95],"trains":[96],"neuron's":[99],"response.":[100],"Here,":[101],"based":[102],"our":[104],"previous":[105],"work":[106],"linear":[108],"filtering,":[110],"we":[111],"build":[112],"general":[114,304],"theory":[115,180,223],"for":[116,193,303],"stationary":[118],"firing":[119,187,256],"response":[120],"integrate-and-fire":[122],"(IF)":[123],"neurons":[124,149,209,306],"receiving":[125,210],"stochastic":[126],"inputs":[127],"filtered":[128],"by":[129,138],"one,":[130],"two,":[131],"or":[132,162,177,291],"multiple":[133],"channels,":[135],"each":[136],"characterized":[137],"an":[139,190],"arbitrary":[140,146,151],"timescale.":[141],"formalism":[143],"applies":[144],"IF":[147,191,231,305],"model":[148],"forms":[152],"input":[154],"noise":[155,218,294],"(i.e.,":[156],"required":[158,278],"be":[160],"gaussian":[161],"have":[164],"small":[165,296],"amplitude),":[166],"as":[167,169,212,214],"well":[168,213],"any":[171],"form":[172],"(linear":[176],"nonlinear).":[178],"determines":[181],"with":[182,328],"exact":[183,238],"analytical":[184,314],"expressions":[185],"rate":[188,257],"neuron":[192],"long":[194],"constants":[197,283],"using":[198,226],"adiabatic":[200,235],"approach.":[201],"correlated":[203],"spiking":[204],"(cross-correlations":[205],"function)":[206],"two":[208],"common":[211],"independent":[215],"sources":[216],"also":[220,308],"described.":[221],"illustrated":[225],"leaky,":[227],"quadratic,":[228],"noise-thresholded":[230],"neurons.":[232],"Although":[233],"approach":[236],"when":[239,259],"least":[241],"one":[242],"long,":[248],"provides":[250],"good":[252],"prediction":[253],"even":[258],"synapses":[264],"are":[265,284],"comparable":[266],"leak":[271],"neuron;":[274],"longer":[285],"than":[286],"mean":[288],"interspike":[289],"intervals":[290],"has":[295],"variance.":[297],"distribution":[299],"potential":[302],"characterized.":[309],"Our":[310],"results":[311],"provide":[312],"powerful":[313],"tools":[315],"can":[317],"allow":[318],"quantitative":[320],"description":[321],"dynamics":[324],"neuronal":[326],"networks":[327],"realistic":[329],"dynamics.":[331]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}
