{"id":"https://openalex.org/W2226424700","doi":null,"title":"Information-geometric method for multiple neuronal spike data analysis","display_name":"Information-geometric method for multiple neuronal spike data analysis","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2226424700","mag":"2226424700"},"language":"en","primary_location":{"id":"pmh:oai:www.uleth.ca:10133/3528","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10133/3528","pdf_url":"http://hdl.handle.net/10133/3528","source":{"id":"https://openalex.org/S4306401508","display_name":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I107949126","host_organization_name":"University of Lethbridge","host_organization_lineage":["https://openalex.org/I107949126"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10133/3528","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010403330","display_name":"Yimin Nie","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yimin Nie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5010403330"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9667999744415283,"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":0.9667999744415283,"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/T10320","display_name":"Neural Networks and Applications","score":0.014600000344216824,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.0012000000569969416,"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/neuronal-interactions","display_name":"neuronal interactions","score":0.722000002861023},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9660000205039978},{"id":"https://openalex.org/keywords/network-inference","display_name":"network inference","score":0.49300000071525574},{"id":"https://openalex.org/keywords/spike-train-analysis","display_name":"spike train analysis","score":0.38100001215934753}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7251442074775696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4737853705883026},{"id":"https://openalex.org/C136520226","wikidata":"https://www.wikidata.org/wiki/Q302814","display_name":"Geometric data analysis","level":2,"score":0.4162721633911133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41252344846725464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3640994429588318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35839712619781494},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.356173038482666},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:www.uleth.ca:10133/3528","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10133/3528","pdf_url":"http://hdl.handle.net/10133/3528","source":{"id":"https://openalex.org/S4306401508","display_name":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I107949126","host_organization_name":"University of Lethbridge","host_organization_lineage":["https://openalex.org/I107949126"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"mag:2226424700","doi":null,"is_oa":false,"landing_page_url":"https://opus.uleth.ca/bitstream/10133/3528/1/NIE_YIMIN_PHD_2014.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:www.uleth.ca:10133/3528","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10133/3528","pdf_url":"http://hdl.handle.net/10133/3528","source":{"id":"https://openalex.org/S4306401508","display_name":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I107949126","host_organization_name":"University of Lethbridge","host_organization_lineage":["https://openalex.org/I107949126"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2226424700.pdf","grobid_xml":"https://content.openalex.org/works/W2226424700.grobid-xml"},"referenced_works_count":98,"referenced_works":["https://openalex.org/W107085514","https://openalex.org/W348202745","https://openalex.org/W1479979375","https://openalex.org/W1483156930","https://openalex.org/W1570751785","https://openalex.org/W1573082642","https://openalex.org/W1596454230","https://openalex.org/W1603661052","https://openalex.org/W1736430329","https://openalex.org/W1945974928","https://openalex.org/W1949141612","https://openalex.org/W1953105366","https://openalex.org/W1967456522","https://openalex.org/W1969003018","https://openalex.org/W1969769253","https://openalex.org/W1972053361","https://openalex.org/W1973372728","https://openalex.org/W1973752972","https://openalex.org/W1975138109","https://openalex.org/W1982918139","https://openalex.org/W1984316793","https://openalex.org/W1985940938","https://openalex.org/W1990314284","https://openalex.org/W1990540817","https://openalex.org/W1990627393","https://openalex.org/W1990820566","https://openalex.org/W1991266025","https://openalex.org/W2007495909","https://openalex.org/W2011746311","https://openalex.org/W2014744085","https://openalex.org/W2021462108","https://openalex.org/W2025164836","https://openalex.org/W2027066860","https://openalex.org/W2033642210","https://openalex.org/W2033840893","https://openalex.org/W2034379782","https://openalex.org/W2047488554","https://openalex.org/W2052608203","https://openalex.org/W2054465718","https://openalex.org/W2055476548","https://openalex.org/W2056336718","https://openalex.org/W2060392742","https://openalex.org/W2060671266","https://openalex.org/W2061464631","https://openalex.org/W2071290167","https://openalex.org/W2076327464","https://openalex.org/W2076735150","https://openalex.org/W2078049175","https://openalex.org/W2079161053","https://openalex.org/W2079578251","https://openalex.org/W2079948225","https://openalex.org/W2081170324","https://openalex.org/W2086162146","https://openalex.org/W2086374092","https://openalex.org/W2087153401","https://openalex.org/W2087790185","https://openalex.org/W2088092325","https://openalex.org/W2093616568","https://openalex.org/W2097230740","https://openalex.org/W2097638521","https://openalex.org/W2098995223","https://openalex.org/W2099975809","https://openalex.org/W2100646696","https://openalex.org/W2103162253","https://openalex.org/W2103243650","https://openalex.org/W2109979970","https://openalex.org/W2111793473","https://openalex.org/W2112905930","https://openalex.org/W2114747787","https://openalex.org/W2116399098","https://openalex.org/W2117120818","https://openalex.org/W2118458514","https://openalex.org/W2120503473","https://openalex.org/W2120574801","https://openalex.org/W2124292936","https://openalex.org/W2128432504","https://openalex.org/W2129140253","https://openalex.org/W2130506326","https://openalex.org/W2137274405","https://openalex.org/W2139868924","https://openalex.org/W2142373488","https://openalex.org/W2146797675","https://openalex.org/W2147238273","https://openalex.org/W2151577040","https://openalex.org/W2151694082","https://openalex.org/W2157468128","https://openalex.org/W2163532659","https://openalex.org/W2163979049","https://openalex.org/W2164653071","https://openalex.org/W2164908099","https://openalex.org/W2165088448","https://openalex.org/W2166963621","https://openalex.org/W2167362547","https://openalex.org/W2168919237","https://openalex.org/W2169519447","https://openalex.org/W2170124105","https://openalex.org/W2172257310","https://openalex.org/W3106798976"],"related_works":["https://openalex.org/W2168919237","https://openalex.org/W2100646696","https://openalex.org/W2141065054","https://openalex.org/W2321970104","https://openalex.org/W4293197659","https://openalex.org/W410309216","https://openalex.org/W2099681619","https://openalex.org/W2547808275","https://openalex.org/W2033897489","https://openalex.org/W2022773737"],"abstract_inverted_index":{"This":[0],"dissertation":[1],"explores":[2],"a":[3,30,100,105],"novel":[4],"statistical":[5],"technique\u2014information":[6],"geometric":[7,84],"method":[8,28],"for":[9,89],"theory":[10],"and":[11,70,75],"its":[12],"application":[13],"in":[14,55,99],"analysis":[15,69],"of":[16,33,73,92,107],"multiple":[17],"neuronal":[18,35,97,114],"spike":[19,115],"data.":[20,40,116],"The":[21,79],"previous":[22,63],"studies":[23,43,64,80],"have":[24],"indicated":[25],"that":[26,82],"information-geometric":[27],"provides":[29],"powerful":[31],"tool":[32],"estimating":[34],"interactions":[36],"from":[37,113],"observed":[38],"spiking":[39],"However,":[41],"these":[42],"were":[44],"conducted":[45],"based":[46],"on":[47],"simplified":[48],"neural":[49,77],"network":[50,111],"structure,":[51],"which":[52],"has":[53],"limitations":[54],"the":[56,62,90,93,109],"real":[57],"brain.":[58],"We":[59],"systematically":[60],"extended":[61],"by":[65],"using":[66],"intensive":[67],"mathematical":[68],"numerical":[71],"simulations":[72],"realistic":[74],"complex":[76,101],"network.":[78],"show":[81],"information":[83],"approach":[85],"provide":[86],"robust":[87],"estimation":[88],"sum":[91],"connection":[94],"weights":[95],"between":[96],"pairs":[98],"recurrent":[102],"network,":[103],"providing":[104],"way":[106],"investigating":[108],"underlying":[110],"structures":[112]},"counts_by_year":[],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2016-06-24T00:00:00"}