{"id":"https://openalex.org/W2071527746","doi":"https://doi.org/10.1109/ijcnn.2013.6706756","title":"Learning population of spiking neural networks with perturbation of conductances","display_name":"Learning population of spiking neural networks with perturbation of conductances","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2071527746","doi":"https://doi.org/10.1109/ijcnn.2013.6706756","mag":"2071527746"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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/A5032215788","display_name":"Piotr Suszynski","orcid":null},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Piotr Suszynski","raw_affiliation_strings":["Institute of Control and Computation Engineering, Warsaw University of Technology, Poland","Inst. of Control & Comput. Eng., Warsaw Univ. of Technol., Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Control and Computation Engineering, Warsaw University of Technology, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Inst. of Control & Comput. Eng., Warsaw Univ. of Technol., Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056517464","display_name":"Pawe\u0142 Wawrzy\u0144ski","orcid":"https://orcid.org/0000-0002-1154-0470"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Wawrzynski","raw_affiliation_strings":["Institute of Control and Computation Engineering, Warsaw University of Technology, Poland","Inst. of Control & Comput. Eng., Warsaw Univ. of Technol., Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Control and Computation Engineering, Warsaw University of Technology, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Inst. of Control & Comput. Eng., Warsaw Univ. of Technol., Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032215788"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76240221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9995999932289124,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.61650550365448},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5532974004745483},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.5163266062736511},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.47233548760414124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4560539424419403},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4494558870792389},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.192164808511734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61650550365448},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5532974004745483},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.5163266062736511},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.47233548760414124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4560539424419403},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4494558870792389},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.192164808511734},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2041176801","https://openalex.org/W2061897041","https://openalex.org/W2119717200","https://openalex.org/W2121863487","https://openalex.org/W2126404188","https://openalex.org/W2156300345","https://openalex.org/W2162160137","https://openalex.org/W2165639766","https://openalex.org/W2168648327","https://openalex.org/W2531891978","https://openalex.org/W2569813014","https://openalex.org/W3120740533","https://openalex.org/W4214717370","https://openalex.org/W4302033506"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2920832517","https://openalex.org/W4388827557","https://openalex.org/W4387877594","https://openalex.org/W4285676431","https://openalex.org/W4377969828"],"abstract_inverted_index":{"In":[0,71],"this":[1,22,51],"paper":[2],"a":[3],"method":[4,76],"is":[5,14,24,30,77,86],"presented":[6],"for":[7],"learning":[8,54,81],"of":[9,18,55,63,67],"spiking":[10],"neural":[11],"networks.":[12],"It":[13],"based":[15],"on":[16,79],"perturbation":[17],"synaptic":[19],"conductances.":[20],"While":[21],"approach":[23],"known":[25,32],"to":[26,33,49],"be":[27,34],"model-free,":[28],"it":[29,37],"also":[31],"slow,":[35],"because":[36],"applies":[38],"improvement":[39],"direction":[40],"estimates":[41],"with":[42,88],"large":[43],"variance.":[44],"Two":[45],"ideas":[46],"are":[47],"analysed":[48],"alleviate":[50],"problem:":[52],"First,":[53],"many":[56],"networks":[57],"at":[58],"the":[59,72,75],"same":[60],"time":[61],"instead":[62],"one.":[64],"Second,":[65],"autocorrelation":[66],"perturbations":[68],"in":[69,83],"time.":[70],"experimental":[73],"study":[74],"validated":[78],"three":[80],"tasks":[82],"which":[84],"information":[85],"conveyed":[87],"frequency":[89],"and":[90],"spike":[91],"timing.":[92]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
