{"id":"https://openalex.org/W2014814611","doi":"https://doi.org/10.1109/ijcnn.2007.4371009","title":"Quantifying the Effect of Learning on Recurrent Spikin Neurons","display_name":"Quantifying the Effect of Learning on Recurrent Spikin Neurons","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2014814611","doi":"https://doi.org/10.1109/ijcnn.2007.4371009","mag":"2014814611"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371009","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5035865170","display_name":"Nicolas Brodu","orcid":"https://orcid.org/0000-0001-7364-8850"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nicolas Brodu","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montreal, QUE, Canada","[Department of Computer Science and Software Engineering, Concordia University, Montreal, QC]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"[Department of Computer Science and Software Engineering, Concordia University, Montreal, QC]","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035865170"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":2.3494,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85942263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"512","last_page":"517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6877629160881042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6292605400085449},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6099741458892822},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5955384969711304},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.554628312587738},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5371938347816467},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.47549399733543396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4653025269508362},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43870747089385986},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.4164559245109558},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.168209969997406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877629160881042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6292605400085449},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6099741458892822},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5955384969711304},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.554628312587738},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5371938347816467},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.47549399733543396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4653025269508362},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43870747089385986},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.4164559245109558},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.168209969997406},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371009","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W25666867","https://openalex.org/W1486852018","https://openalex.org/W1643957516","https://openalex.org/W1675720414","https://openalex.org/W1867196520","https://openalex.org/W1961810468","https://openalex.org/W2032254348","https://openalex.org/W2103179919","https://openalex.org/W2125486261","https://openalex.org/W2138952627","https://openalex.org/W2156892073","https://openalex.org/W3155801056","https://openalex.org/W4250448179","https://openalex.org/W4320930818","https://openalex.org/W6601021603","https://openalex.org/W6637260329","https://openalex.org/W6639133417","https://openalex.org/W6641032027","https://openalex.org/W6658695912","https://openalex.org/W6678652457","https://openalex.org/W6680274690","https://openalex.org/W6683358615","https://openalex.org/W6794361930"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W4255628145","https://openalex.org/W3189572500"],"abstract_inverted_index":{"This":[0,85],"work":[1,107],"is":[2,7,18,60,67,83,95,108],"concerned":[3],"with":[4],"measuring":[5],"what":[6],"the":[8,35,39,55],"response":[9],"of":[10,37,54,100,105,113],"recurrent":[11],"spiking":[12],"neurons":[13,88],"when":[14,79],"a":[15,23,73,80,111],"learning":[16,81],"rule":[17,82],"applied":[19],"to":[20,109],"them,":[21],"in":[22,47],"liquid":[24],"state":[25],"machine":[26],"context.":[27],"Two":[28],"indicators":[29],"are":[30],"considered":[31],"for":[32,63],"monitoring":[33],"on-line":[34],"effect":[36,99],"learning:":[38],"separation":[40,71],"property,":[41],"which":[42],"has":[43],"already":[44],"been":[45],"studied":[46],"previous":[48],"works,":[49],"and":[50,92],"an":[51,98],"incremental":[52],"version":[53],"statistical":[56,76],"complexity":[57,77],"measure":[58],"that":[59,69,87],"introduced":[61],"expressly":[62],"our":[64],"needs.":[65],"It":[66],"found":[68],"while":[70],"increases,":[72],"neuron's":[74],"average":[75],"decreases":[78],"applied.":[84],"means":[86],"become":[89],"more":[90],"predictable":[91],"their":[93],"behavior":[94],"simplified":[96],"as":[97],"learning.":[101],"A":[102],"key":[103],"feature":[104],"this":[106,114],"provide":[110],"quantification":[112],"phenomenon.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}