{"id":"https://openalex.org/W4387058865","doi":"https://doi.org/10.3389/fncom.2023.1207361","title":"Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception","display_name":"Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4387058865","doi":"https://doi.org/10.3389/fncom.2023.1207361","pmid":"https://pubmed.ncbi.nlm.nih.gov/37818157"},"language":"en","primary_location":{"id":"doi:10.3389/fncom.2023.1207361","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2023.1207361","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2023.1207361/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fncom.2023.1207361/pdf?isPublishedV2=False","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038721084","display_name":"Matthias Brucklacher","orcid":"https://orcid.org/0000-0002-7062-0059"},"institutions":[{"id":"https://openalex.org/I1295801184","display_name":"Netherlands Institute for Neuroscience","ror":"https://ror.org/05csn2x06","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1295801184","https://openalex.org/I1322597698"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Matthias Brucklacher","raw_affiliation_strings":["Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1295801184","https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005914878","display_name":"Sander M. Boht\u00e9","orcid":"https://orcid.org/0000-0002-7866-278X"},"institutions":[{"id":"https://openalex.org/I1295801184","display_name":"Netherlands Institute for Neuroscience","ror":"https://ror.org/05csn2x06","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1295801184","https://openalex.org/I1322597698"]},{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832","https://openalex.org/I4405262988"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sander M. Boht\u00e9","raw_affiliation_strings":["Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands","Machine Learning Group, Centrum Wiskunde & Informatica, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1295801184","https://openalex.org/I887064364"]},{"raw_affiliation_string":"Machine Learning Group, Centrum Wiskunde & Informatica, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026319630","display_name":"Jorge F. Mej\u00edas","orcid":"https://orcid.org/0000-0002-8096-4891"},"institutions":[{"id":"https://openalex.org/I1295801184","display_name":"Netherlands Institute for Neuroscience","ror":"https://ror.org/05csn2x06","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1295801184","https://openalex.org/I1322597698"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jorge F. Mejias","raw_affiliation_strings":["Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1295801184","https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051130900","display_name":"Cyriel M. A. Pennartz","orcid":"https://orcid.org/0000-0001-8328-1175"},"institutions":[{"id":"https://openalex.org/I1295801184","display_name":"Netherlands Institute for Neuroscience","ror":"https://ror.org/05csn2x06","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1295801184","https://openalex.org/I1322597698"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Cyriel M. A. Pennartz","raw_affiliation_strings":["Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1295801184","https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038721084"],"corresponding_institution_ids":["https://openalex.org/I1295801184","https://openalex.org/I887064364"],"apc_list":{"value":3295,"currency":"USD","value_usd":3295},"apc_paid":{"value":3295,"currency":"USD","value_usd":3295},"fwci":1.9591,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86197034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"1207361","last_page":"1207361"},"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9954000115394592,"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/T11094","display_name":"Face Recognition and Perception","score":0.995199978351593,"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/generative-model","display_name":"Generative model","score":0.6744563579559326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6576026082038879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6199982762336731},{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.5507203936576843},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.481865257024765},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4531822204589844},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4358072578907013},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.42725250124931335},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42668431997299194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42427268624305725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37113016843795776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17368873953819275}],"concepts":[{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6744563579559326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576026082038879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6199982762336731},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.5507203936576843},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.481865257024765},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4531822204589844},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4358072578907013},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.42725250124931335},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42668431997299194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42427268624305725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37113016843795776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17368873953819275},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3389/fncom.2023.1207361","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2023.1207361","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2023.1207361/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},{"id":"pmid:37818157","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37818157","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":"Frontiers in computational neuroscience","raw_type":null},{"id":"pmh:oai:dare.uva.nl:publications/e82cce40-fc17-4b08-b186-03a04008d5e0","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/local-minimization-of-prediction-errors-drives-learning-of-invariant-object-representations-in-a-generative-network-model-of-visual-perception(e82cce40-fc17-4b08-b186-03a04008d5e0).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brucklacher, M, Boht\u00e9, S M, Mejias, J F & Pennartz, C M A 2023, 'Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception', Frontiers in Computational Neuroscience, vol. 17, 1207361. https://doi.org/10.3389/fncom.2023.1207361","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:cwi.nl:33419","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/33419","pdf_url":"https://ir.cwi.nl/pub/33419/33419.pdf","source":{"id":"https://openalex.org/S7407055335","display_name":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Computational Neuroscience vol. 17, pp. 1207361:1-1207361:15","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10561268","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10561268","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10561268/pdf/fncom-17-1207361.pdf","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":"Front Comput Neurosci","raw_type":"Text"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/e82cce40-fc17-4b08-b186-03a04008d5e0","is_oa":true,"landing_page_url":"https://hdl.handle.net/11245.1/e82cce40-fc17-4b08-b186-03a04008d5e0","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"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":"Brucklacher, M, Boht\u00e9, S M, Mejias, J F & Pennartz, C M A 2023, 'Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception', Frontiers in Computational Neuroscience, vol. 17, 1207361. https://doi.org/10.3389/fncom.2023.1207361","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:2bdd0cde0b764ea8bdd20febbc4c40c6","is_oa":true,"landing_page_url":"https://doaj.org/article/2bdd0cde0b764ea8bdd20febbc4c40c6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Computational Neuroscience, Vol 17 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fncom.2023.1207361","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2023.1207361","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2023.1207361/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4530127105","display_name":null,"funder_award_id":"945539","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5563633617","display_name":"Interactive Computing E-Infrastructure for the Human Brain Project","funder_award_id":"800858","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8715391269","display_name":null,"funder_award_id":"800858","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8767435255","display_name":"Human Brain Project Specific Grant Agreement 3","funder_award_id":"945539","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387058865.pdf"},"referenced_works_count":93,"referenced_works":["https://openalex.org/W64652264","https://openalex.org/W1504499192","https://openalex.org/W1526492552","https://openalex.org/W1855112655","https://openalex.org/W1966342514","https://openalex.org/W1990288127","https://openalex.org/W1996348120","https://openalex.org/W2007997142","https://openalex.org/W2015321847","https://openalex.org/W2017040534","https://openalex.org/W2021546183","https://openalex.org/W2038032054","https://openalex.org/W2043426395","https://openalex.org/W2049364880","https://openalex.org/W2049517487","https://openalex.org/W2057641276","https://openalex.org/W2060436934","https://openalex.org/W2065821796","https://openalex.org/W2066835186","https://openalex.org/W2069922615","https://openalex.org/W2071290167","https://openalex.org/W2082627290","https://openalex.org/W2089632738","https://openalex.org/W2093002383","https://openalex.org/W2095716305","https://openalex.org/W2096388912","https://openalex.org/W2101295242","https://openalex.org/W2113299665","https://openalex.org/W2119885245","https://openalex.org/W2120079537","https://openalex.org/W2122872927","https://openalex.org/W2125663122","https://openalex.org/W2127531110","https://openalex.org/W2139048253","https://openalex.org/W2142756981","https://openalex.org/W2146444479","https://openalex.org/W2147800946","https://openalex.org/W2148764920","https://openalex.org/W2149194912","https://openalex.org/W2160654481","https://openalex.org/W2168101731","https://openalex.org/W2168202614","https://openalex.org/W2413648480","https://openalex.org/W2537349074","https://openalex.org/W2542327379","https://openalex.org/W2566724240","https://openalex.org/W2586591890","https://openalex.org/W2604086949","https://openalex.org/W2606274715","https://openalex.org/W2755486058","https://openalex.org/W2757870059","https://openalex.org/W2766736793","https://openalex.org/W2800603749","https://openalex.org/W2842511635","https://openalex.org/W2898208057","https://openalex.org/W2920861607","https://openalex.org/W2965728926","https://openalex.org/W2991252301","https://openalex.org/W3008716087","https://openalex.org/W3016954138","https://openalex.org/W3029063334","https://openalex.org/W3081068330","https://openalex.org/W3093704180","https://openalex.org/W3133991449","https://openalex.org/W3162322270","https://openalex.org/W3184706608","https://openalex.org/W3184778028","https://openalex.org/W3202353721","https://openalex.org/W3206167188","https://openalex.org/W3208311093","https://openalex.org/W4212774754","https://openalex.org/W4213413356","https://openalex.org/W4220956408","https://openalex.org/W4221074668","https://openalex.org/W4226256231","https://openalex.org/W4281296081","https://openalex.org/W4283365890","https://openalex.org/W4285802298","https://openalex.org/W4294554810","https://openalex.org/W4297808394","https://openalex.org/W4382173466","https://openalex.org/W4384820554","https://openalex.org/W4387058865","https://openalex.org/W4387579540","https://openalex.org/W4387665735","https://openalex.org/W4391640579","https://openalex.org/W6713563955","https://openalex.org/W6755303222","https://openalex.org/W6791235191","https://openalex.org/W6794863529","https://openalex.org/W6796239868","https://openalex.org/W6803784378","https://openalex.org/W6854091160"],"related_works":["https://openalex.org/W2019283726","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W1993110512","https://openalex.org/W1991841905","https://openalex.org/W2582265187","https://openalex.org/W2078098917","https://openalex.org/W4380551139","https://openalex.org/W1618190107","https://openalex.org/W1525325138"],"abstract_inverted_index":{"The":[0,142],"ventral":[1,139],"visual":[2,48],"processing":[3,140],"hierarchy":[4],"of":[5,25,85,91,107,122,130,137,146,154,163,170,184],"the":[6,26,65,82,97,119,138,157,167,171,185,197,200,225],"cortex":[7],"needs":[8],"to":[9,21,41,61,69,103,111,134,150,181,204,228],"fulfill":[10],"at":[11],"least":[12],"two":[13],"key":[14],"functions:":[15],"perceived":[16],"objects":[17,63],"must":[18,34],"be":[19,35],"mapped":[20],"high-level":[22],"representations":[23,72,125],"invariantly":[24],"precise":[27,108],"viewing":[28],"conditions,":[29],"and":[30,68,236],"a":[31,54,74,78,194,208],"generative":[32,168,195],"model":[33],"learned":[36],"that":[37],"allows,":[38],"for":[39,156,160],"instance,":[40],"fill":[42],"in":[43,96,114,207,234],"occluded":[44],"information":[45],"guided":[46],"by":[47,175,223],"experience.":[49],"Here,":[50],"we":[51],"show":[52],"how":[53],"multilayered":[55],"predictive":[56,201,243],"coding":[57,202,244],"network":[58,99,172],"can":[59],"learn":[60],"recognize":[62],"from":[64,132,190,239],"bottom":[66],"up":[67],"generate":[70],"specific":[71,177],"via":[73],"top-down":[75],"pathway":[76],"through":[77],"single":[79],"learning":[80,188,237],"rule:":[81],"local":[83],"minimization":[84],"prediction":[86,164],"errors.":[87,165],"Trained":[88],"on":[89,117],"sequences":[90],"continuously":[92],"transformed":[93],"objects,":[94],"neurons":[95,113,152],"highest":[98],"area":[100],"become":[101],"tuned":[102],"object":[104,124,178],"identity":[105],"invariant":[106,123],"position,":[109],"comparable":[110],"inferotemporal":[112],"macaques.":[115],"Drawing":[116],"this,":[118],"dynamic":[120,205,229],"properties":[121],"reproduce":[126],"experimentally":[127],"observed":[128],"hierarchies":[129],"timescales":[131],"low":[133],"high":[135],"levels":[136],"stream.":[141],"predicted":[143],"faster":[144],"decorrelation":[145],"error-neuron":[147],"activity":[148],"compared":[149],"representation":[151],"is":[153,173],"relevance":[155],"experimental":[158],"search":[159],"neural":[161],"correlates":[162],"Lastly,":[166],"capacity":[169],"confirmed":[174],"reconstructing":[176],"images,":[179],"robust":[180],"partial":[182],"occlusion":[183],"inputs.":[186],"By":[187],"invariance":[189],"temporal":[191],"continuity":[192],"within":[193],"model,":[196],"approach":[198],"generalizes":[199],"framework":[203],"inputs":[206],"more":[209],"biologically":[210],"plausible":[211],"way":[212],"than":[213],"self-supervised":[214],"networks":[215],"with":[216,231],"non-local":[217],"error-backpropagation.":[218],"This":[219],"was":[220],"achieved":[221],"simply":[222],"shifting":[224],"training":[226],"paradigm":[227],"inputs,":[230],"little":[232],"change":[233],"architecture":[235],"rule":[238],"static":[240],"input-reconstructing":[241],"Hebbian":[242],"networks.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
