{"id":"https://openalex.org/W2596940909","doi":"https://doi.org/10.1371/journal.pcbi.1007692","title":"Learning to represent signals spike by spike","display_name":"Learning to represent signals spike by spike","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W2596940909","doi":"https://doi.org/10.1371/journal.pcbi.1007692","mag":"2596940909","pmid":"https://pubmed.ncbi.nlm.nih.gov/32176682"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1007692","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007692","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1007692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086801305","display_name":"Wieland Brendel","orcid":null},"institutions":[{"id":"https://openalex.org/I113358080","display_name":"Champalimaud Foundation","ror":"https://ror.org/03g001n57","country_code":"PT","type":"facility","lineage":["https://openalex.org/I113358080"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE","FR","PT"],"is_corresponding":false,"raw_author_name":"Wieland Brendel","raw_affiliation_strings":["Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal","Group for Neural Theory, INSERM U960, D\u00e9partement d'Etudes Cognitives, Ecole Normale Sup\u00e9rieure, Paris, France","T\u00fcbingen AI Center, University of T\u00fcbingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal","institution_ids":["https://openalex.org/I113358080"]},{"raw_affiliation_string":"Group for Neural Theory, INSERM U960, D\u00e9partement d'Etudes Cognitives, Ecole Normale Sup\u00e9rieure, Paris, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I154526488"]},{"raw_affiliation_string":"T\u00fcbingen AI Center, University of T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087000153","display_name":"Ralph Bourdoukan","orcid":"https://orcid.org/0000-0002-3814-8364"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ralph Bourdoukan","raw_affiliation_strings":["Group for Neural Theory, INSERM U960, D\u00e9partement d'Etudes Cognitives, Ecole Normale Sup\u00e9rieure, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-3814-8364","affiliations":[{"raw_affiliation_string":"Group for Neural Theory, INSERM U960, D\u00e9partement d'Etudes Cognitives, Ecole Normale Sup\u00e9rieure, Paris, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005388468","display_name":"Pietro Vertechi","orcid":"https://orcid.org/0000-0003-3751-1181"},"institutions":[{"id":"https://openalex.org/I113358080","display_name":"Champalimaud Foundation","ror":"https://ror.org/03g001n57","country_code":"PT","type":"facility","lineage":["https://openalex.org/I113358080"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR","PT"],"is_corresponding":false,"raw_author_name":"Pietro Vertechi","raw_affiliation_strings":["Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal","Group for Neural Theory, INSERM U960, D\u00e9partement d'Etudes Cognitives, Ecole Normale Sup\u00e9rieure, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-3751-1181","affiliations":[{"raw_affiliation_string":"Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal","institution_ids":["https://openalex.org/I113358080"]},{"raw_affiliation_string":"Group for Neural Theory, INSERM U960, D\u00e9partement d'Etudes Cognitives, Ecole Normale Sup\u00e9rieure, Paris, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024887903","display_name":"Christian K. Machens","orcid":"https://orcid.org/0000-0003-1717-1562"},"institutions":[{"id":"https://openalex.org/I113358080","display_name":"Champalimaud Foundation","ror":"https://ror.org/03g001n57","country_code":"PT","type":"facility","lineage":["https://openalex.org/I113358080"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Christian K. Machens","raw_affiliation_strings":["Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-1717-1562","affiliations":[{"raw_affiliation_string":"Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal","institution_ids":["https://openalex.org/I113358080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083343243","display_name":"Sophie Den\u00e8ve","orcid":"https://orcid.org/0000-0002-9318-9636"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sophie Den\u00e8ve","raw_affiliation_strings":["Group for Neural Theory, INSERM U960, D\u00e9partement d'Etudes Cognitives, Ecole Normale Sup\u00e9rieure, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group for Neural Theory, INSERM U960, D\u00e9partement d'Etudes Cognitives, Ecole Normale Sup\u00e9rieure, Paris, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I154526488"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024887903","https://openalex.org/A5083343243"],"corresponding_institution_ids":["https://openalex.org/I113358080","https://openalex.org/I154526488","https://openalex.org/I29607241"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.1137,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.4013922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"3","first_page":"e1007692","last_page":"e1007692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9990000128746033,"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":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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/spike","display_name":"Spike (software development)","score":0.8591076135635376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907304525375366},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5768418312072754},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5206860303878784},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5018258094787598},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.4978454113006592},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.4947904944419861},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.472215473651886},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45513877272605896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45424067974090576},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.4133613109588623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2688034176826477},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.1428309679031372},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11355316638946533}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.8591076135635376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907304525375366},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5768418312072754},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5206860303878784},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5018258094787598},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.4978454113006592},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4947904944419861},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.472215473651886},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45513877272605896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45424067974090576},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.4133613109588623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2688034176826477},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.1428309679031372},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11355316638946533},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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":"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":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":9,"locations":[{"id":"doi:10.1371/journal.pcbi.1007692","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007692","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:32176682","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32176682","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:arXiv.org:1703.03777","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.03777","pdf_url":"https://arxiv.org/pdf/1703.03777","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2596940909","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1703.03777","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:inserm-02588202v1","is_oa":true,"landing_page_url":"https://inserm.hal.science/inserm-02588202","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, 2020, 16 (3), pp.e1007692. &#x27E8;10.1371/journal.pcbi.1007692&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:6145ada207a14afeb2529f6d77c13834","is_oa":true,"landing_page_url":"https://doaj.org/article/6145ada207a14afeb2529f6d77c13834","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 16, Iss 3, p e1007692 (2020)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/11990298","is_oa":true,"landing_page_url":"https://figshare.com/articles/Learning_to_represent_signals_spike_by_spike/11990298","pdf_url":null,"source":{"id":"https://openalex.org/S4306400572","display_name":"OPAL (Open@LaTrobe) (La Trobe University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I196829312","host_organization_name":"La Trobe University","host_organization_lineage":["https://openalex.org/I196829312"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7135338","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7135338","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"doi:10.48550/arxiv.1703.03777","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1703.03777","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1007692","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007692","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6250446912","display_name":null,"funder_award_id":"FP6-IST-027140","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320306183","display_name":"James S. McDonnell Foundation","ror":"https://ror.org/03dy4aq19"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W386569623","https://openalex.org/W1486852018","https://openalex.org/W1548802052","https://openalex.org/W1979589822","https://openalex.org/W1980773744","https://openalex.org/W1985735234","https://openalex.org/W1992145073","https://openalex.org/W1993868308","https://openalex.org/W1997953085","https://openalex.org/W1998050452","https://openalex.org/W2006415669","https://openalex.org/W2006814548","https://openalex.org/W2008240154","https://openalex.org/W2008284899","https://openalex.org/W2009839417","https://openalex.org/W2014542273","https://openalex.org/W2014570184","https://openalex.org/W2016708835","https://openalex.org/W2025539936","https://openalex.org/W2029374903","https://openalex.org/W2037616194","https://openalex.org/W2040739363","https://openalex.org/W2049517487","https://openalex.org/W2051137788","https://openalex.org/W2057898689","https://openalex.org/W2077208091","https://openalex.org/W2082448915","https://openalex.org/W2106566258","https://openalex.org/W2107433900","https://openalex.org/W2108384452","https://openalex.org/W2113345172","https://openalex.org/W2118354656","https://openalex.org/W2122925692","https://openalex.org/W2131707403","https://openalex.org/W2133069808","https://openalex.org/W2133128597","https://openalex.org/W2138704896","https://openalex.org/W2140499889","https://openalex.org/W2145889472","https://openalex.org/W2150439267","https://openalex.org/W2151035455","https://openalex.org/W2156938623","https://openalex.org/W2169548727","https://openalex.org/W2170934142","https://openalex.org/W2187994211","https://openalex.org/W2190490644","https://openalex.org/W2266484058","https://openalex.org/W2276533724","https://openalex.org/W2432567885","https://openalex.org/W2465732295","https://openalex.org/W2529004582","https://openalex.org/W2560805033","https://openalex.org/W2597303721","https://openalex.org/W2604086949","https://openalex.org/W2611608598","https://openalex.org/W2617657205","https://openalex.org/W2620205825","https://openalex.org/W2735683573","https://openalex.org/W2892242726","https://openalex.org/W2963984277","https://openalex.org/W4299351436","https://openalex.org/W6761579024","https://openalex.org/W6762737111"],"related_works":["https://openalex.org/W2181328046","https://openalex.org/W1980773744","https://openalex.org/W386569623","https://openalex.org/W2099231026","https://openalex.org/W2008284899","https://openalex.org/W2762618235","https://openalex.org/W2751305437","https://openalex.org/W2802748234","https://openalex.org/W2117894592","https://openalex.org/W2611948935","https://openalex.org/W2286084656","https://openalex.org/W2953378611","https://openalex.org/W2131707403","https://openalex.org/W3027568855","https://openalex.org/W2417747970","https://openalex.org/W3213401654","https://openalex.org/W2883047671","https://openalex.org/W2619854419","https://openalex.org/W1678163929","https://openalex.org/W2766071231"],"abstract_inverted_index":{"Networks":[0],"based":[1],"on":[2],"coordinated":[3],"spike":[4,14],"coding":[5,73],"can":[6,56],"encode":[7],"information":[8],"with":[9,35,59],"high":[10],"efficiency":[11,74],"in":[12,30,53],"the":[13,48,69,94],"trains":[15],"of":[16],"individual":[17],"neurons.":[18],"These":[19],"networks":[20,55],"exhibit":[21],"single-neuron":[22],"variability":[23],"and":[24,88,113],"tuning":[25],"curves":[26],"as":[27,75,123],"typically":[28],"observed":[29],"cortex,":[31],"but":[32],"paradoxically":[33],"coincide":[34],"a":[36,84,102,114],"precise,":[37],"non-redundant":[38],"spike-based":[39],"population":[40],"code.":[41],"However,":[42],"it":[43],"has":[44],"remained":[45],"unclear":[46],"whether":[47],"specific":[49],"synaptic":[50],"connectivities":[51],"required":[52,70],"these":[54],"be":[57],"learnt":[58],"local":[60],"learning":[61,81],"rules.":[62],"Here,":[63],"we":[64,78,89,104],"show":[65],"how":[66],"to":[67,97],"learn":[68],"architecture.":[71],"Using":[72],"an":[76,98,106],"objective,":[77],"derive":[79],"spike-timing-dependent":[80],"rules":[82],"for":[83,93],"recurrent":[85],"neural":[86],"network,":[87],"provide":[90],"exact":[91],"solutions":[92],"networks'":[95],"convergence":[96],"optimal":[99],"state.":[100],"As":[101],"result,":[103],"deduce":[105],"entire":[107],"network":[108],"from":[109],"its":[110],"input":[111],"distribution":[112],"firing":[115,125],"cost.":[116],"After":[117],"learning,":[118],"basic":[119],"biophysical":[120],"quantities":[121],"such":[122],"voltages,":[124],"thresholds,":[126],"excitation,":[127],"inhibition,":[128],"or":[129],"spikes":[130],"acquire":[131],"precise":[132],"functional":[133],"interpretations.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
