{"id":"https://openalex.org/W2032217783","doi":"https://doi.org/10.1109/ccece.2013.6567778","title":"A self exciting point process model for neural spike sequences, and its rate estimation","display_name":"A self exciting point process model for neural spike sequences, and its rate estimation","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2032217783","doi":"https://doi.org/10.1109/ccece.2013.6567778","mag":"2032217783"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2013.6567778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2013.6567778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5079862974","display_name":"Scott Monk","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Scott Monk","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada","Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018351682","display_name":"H. Leib","orcid":"https://orcid.org/0000-0003-1299-3073"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Harry Leib","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada","Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079862974"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.304,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58144238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9975000023841858,"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/T10448","display_name":"Memory and Neural Mechanisms","score":0.9909999966621399,"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/estimator","display_name":"Estimator","score":0.8739964962005615},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6825358867645264},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.6781577467918396},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.5488279461860657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4577324688434601},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4389963448047638},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41759270429611206},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.40571361780166626},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33738070726394653},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3329220414161682}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8739964962005615},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6825358867645264},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.6781577467918396},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.5488279461860657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4577324688434601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4389963448047638},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41759270429611206},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.40571361780166626},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33738070726394653},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3329220414161682},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2013.6567778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2013.6567778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323180","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1522573619","https://openalex.org/W1582091054","https://openalex.org/W1586180564","https://openalex.org/W1694767778","https://openalex.org/W1814500939","https://openalex.org/W1991036624","https://openalex.org/W2012500654","https://openalex.org/W2043484328","https://openalex.org/W2096038694","https://openalex.org/W2101660706","https://openalex.org/W2110242299","https://openalex.org/W2119381787","https://openalex.org/W2170736841","https://openalex.org/W2585198072","https://openalex.org/W3133603318","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2383615955","https://openalex.org/W2056756835","https://openalex.org/W2052715863","https://openalex.org/W2187212244","https://openalex.org/W2062974934","https://openalex.org/W2775582103","https://openalex.org/W2329992713","https://openalex.org/W1558157446","https://openalex.org/W2173049006","https://openalex.org/W4283311647"],"abstract_inverted_index":{"Common":[0],"neuron":[1],"firing":[2,119],"rate":[3,30],"estimators":[4,31],"have":[5],"been":[6],"criticized":[7],"because":[8],"of":[9,19,91,135],"their":[10],"Poisson":[11,60,113,144],"assumption,":[12],"not":[13],"accounting":[14],"for":[15,35,57,66,115],"the":[16,72,79,88,92,102,105,112,125,143],"refractory":[17,69,80,103],"period":[18,70,81],"action":[20],"potentials":[21],"that":[22,32,99,124],"induces":[23],"history":[24],"dependency":[25],"in":[26,71],"spike":[27,73],"sequences.":[28],"Hence":[29],"can":[33,107],"account":[34,65],"such":[36],"dependency,":[37],"although":[38],"seemingly":[39],"more":[40,46],"difficult":[41],"to":[42,64,117,137,142],"formulate,":[43],"could":[44],"provide":[45],"accurate":[47],"results.":[48],"In":[49],"this":[50,129],"paper":[51],"a":[52,83],"Maximum":[53],"Likelihood":[54],"(ML)":[55],"estimator":[56,77,106,114,130],"an":[58,67,132],"inhomogeneous":[59],"process":[61],"is":[62],"modified":[63],"absolute":[68],"sequence.":[74],"The":[75],"proposed":[76],"treats":[78],"as":[82],"nuisance":[84],"parameter":[85],"and":[86],"maximizes":[87],"profile":[89],"likelihood":[90],"stimulus.":[93],"Through":[94],"computer":[95],"simulations":[96],"we":[97,122],"show":[98,123],"by":[100,128],"exploiting":[101],"phenomenon,":[104],"achieve":[108],"better":[109],"performance":[110],"than":[111],"moderate":[116],"high":[118],"rates.":[120],"Furthermore,":[121],"results":[126],"provided":[127],"yield":[131],"improved":[133],"goodness":[134],"fit":[136],"real":[138],"data":[139],"when":[140],"compared":[141],"estimator.":[145]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}