{"id":"https://openalex.org/W4400770413","doi":"https://doi.org/10.1371/journal.pcbi.1012283","title":"Achieving Occam\u2019s razor: Deep learning for optimal model reduction","display_name":"Achieving Occam\u2019s razor: Deep learning for optimal model reduction","publication_year":2024,"publication_date":"2024-07-18","ids":{"openalex":"https://openalex.org/W4400770413","doi":"https://doi.org/10.1371/journal.pcbi.1012283","pmid":"https://pubmed.ncbi.nlm.nih.gov/39024398"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1012283","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012283","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":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1012283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065407797","display_name":"Botond B. Antal","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Botond B. Antal","raw_affiliation_strings":["Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066118973","display_name":"Anthony G. Chesebro","orcid":"https://orcid.org/0000-0003-4251-8986"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anthony G. Chesebro","raw_affiliation_strings":["Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057724778","display_name":"Helmut H. Strey","orcid":"https://orcid.org/0000-0002-6554-5322"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Helmut H. Strey","raw_affiliation_strings":["Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America","Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, United States of America","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035411709","display_name":"Lilianne R. Mujica\u2010Parodi","orcid":"https://orcid.org/0000-0002-3752-5519"},"institutions":[{"id":"https://openalex.org/I1308548392","display_name":"Santa Fe Institute","ror":"https://ror.org/01arysc35","country_code":"US","type":"funder","lineage":["https://openalex.org/I1308548392"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lilianne R. Mujica-Parodi","raw_affiliation_strings":["Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America","Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, United States of America","Santa Fe Institute, Santa Fe, New Mexico, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, United States of America","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Santa Fe Institute, Santa Fe, New Mexico, United States of America","institution_ids":["https://openalex.org/I1308548392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047528075","display_name":"Corey Weistuch","orcid":"https://orcid.org/0000-0001-6044-2511"},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Corey Weistuch","raw_affiliation_strings":["Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-6044-2511","affiliations":[{"raw_affiliation_string":"Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America","institution_ids":["https://openalex.org/I1334819555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035411709","https://openalex.org/A5047528075","https://openalex.org/A5057724778","https://openalex.org/A5065407797","https://openalex.org/A5066118973"],"corresponding_institution_ids":["https://openalex.org/I1308548392","https://openalex.org/I1334819555","https://openalex.org/I59553526"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.7333,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70032289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"20","issue":"7","first_page":"e1012283","last_page":"e1012283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9728000164031982,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.972599983215332,"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/occam","display_name":"occam","score":0.963477373123169},{"id":"https://openalex.org/keywords/occams-razor","display_name":"Occam's razor","score":0.8804758191108704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7234636545181274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6126283407211304},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5438372492790222},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5072588324546814},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5062636137008667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4926522374153137},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45199280977249146},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.4448162913322449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36931687593460083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1713273525238037},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09316638112068176}],"concepts":[{"id":"https://openalex.org/C78469957","wikidata":"https://www.wikidata.org/wiki/Q838062","display_name":"occam","level":2,"score":0.963477373123169},{"id":"https://openalex.org/C64802038","wikidata":"https://www.wikidata.org/wiki/Q131012","display_name":"Occam's razor","level":2,"score":0.8804758191108704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234636545181274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6126283407211304},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5438372492790222},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5072588324546814},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5062636137008667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4926522374153137},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45199280977249146},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.4448162913322449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36931687593460083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1713273525238037},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09316638112068176},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1371/journal.pcbi.1012283","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012283","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:39024398","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39024398","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:pubmedcentral.nih.gov:11288447","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11288447","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11288447/pdf/pcbi.1012283.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":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:eca67964be384d118acf13c2b149308d","is_oa":true,"landing_page_url":"https://doaj.org/article/eca67964be384d118acf13c2b149308d","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":"PLoS Computational Biology, Vol 20, Iss 7, p e1012283 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1012283","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012283","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":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1382636643","display_name":null,"funder_award_id":"NSFNCS-FR 1926781","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3120912437","display_name":null,"funder_award_id":"T32 GM008444","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G5110314844","display_name":null,"funder_award_id":"P30 CA008748","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G635559457","display_name":null,"funder_award_id":"FR 1926781","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G68720465","display_name":"NCS-FR: Protecting the Aging Brain: Self-Organizing Networks and Multi-Scale Dynamics under Energy Constraints","funder_award_id":"1926781","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W140866284","https://openalex.org/W1516784988","https://openalex.org/W1862800359","https://openalex.org/W1979769287","https://openalex.org/W1981276685","https://openalex.org/W1982387963","https://openalex.org/W1988115241","https://openalex.org/W1990323937","https://openalex.org/W1997320786","https://openalex.org/W1998297113","https://openalex.org/W2002062638","https://openalex.org/W2002661807","https://openalex.org/W2005693445","https://openalex.org/W2008107402","https://openalex.org/W2009494091","https://openalex.org/W2013029404","https://openalex.org/W2014018052","https://openalex.org/W2029784397","https://openalex.org/W2033783472","https://openalex.org/W2066313169","https://openalex.org/W2072287445","https://openalex.org/W2072522618","https://openalex.org/W2092692908","https://openalex.org/W2101135654","https://openalex.org/W2110242546","https://openalex.org/W2117663940","https://openalex.org/W2122538988","https://openalex.org/W2132047598","https://openalex.org/W2135354436","https://openalex.org/W2137983211","https://openalex.org/W2139131545","https://openalex.org/W2161304688","https://openalex.org/W2168648059","https://openalex.org/W2170528613","https://openalex.org/W2236623899","https://openalex.org/W2552320392","https://openalex.org/W2569457803","https://openalex.org/W2608862709","https://openalex.org/W2657631929","https://openalex.org/W2884878604","https://openalex.org/W2910705748","https://openalex.org/W2962858109","https://openalex.org/W2964184826","https://openalex.org/W2980334539","https://openalex.org/W2999350954","https://openalex.org/W3003257820","https://openalex.org/W3010445821","https://openalex.org/W3025987286","https://openalex.org/W3082465854","https://openalex.org/W3103145119","https://openalex.org/W3104075257","https://openalex.org/W3126293391","https://openalex.org/W3139456908","https://openalex.org/W3187435263","https://openalex.org/W4221145393","https://openalex.org/W4232020351","https://openalex.org/W4286879859","https://openalex.org/W4287512175","https://openalex.org/W4293507940","https://openalex.org/W4294344654","https://openalex.org/W4311158234","https://openalex.org/W4312362262","https://openalex.org/W4319237051","https://openalex.org/W4385303265","https://openalex.org/W4386637234","https://openalex.org/W6653924751"],"related_works":["https://openalex.org/W3023590748","https://openalex.org/W2949846021","https://openalex.org/W1731670240","https://openalex.org/W2951568450","https://openalex.org/W2966907487","https://openalex.org/W2140251433","https://openalex.org/W2020649503","https://openalex.org/W51126094","https://openalex.org/W1718449494","https://openalex.org/W1519727353"],"abstract_inverted_index":{"All":[0],"fields":[1],"of":[2,39,86,110,119,149,180],"science":[3],"depend":[4],"on":[5],"mathematical":[6],"models.":[7],"Occam's":[8,62],"razor":[9,63],"refers":[10],"to":[11,24,36,60,64,80,104,127,166,191,196,207,214],"the":[12,26,84,106,116,146,157,172,185,189,193,202,224],"principle":[13],"that":[14,132,137],"good":[15],"models":[16],"should":[17],"exclude":[18],"parameters":[19,41,170,195,216],"beyond":[20],"those":[21,136],"minimally":[22],"required":[23],"describe":[25],"systems":[27],"they":[28],"represent.":[29],"This":[30],"is":[31],"because":[32],"redundancy":[33],"can":[34,56,204],"lead":[35],"incorrect":[37],"estimates":[38],"model":[40,65,89,175,179,221],"from":[42,90],"data,":[43],"and":[44,82,176,222],"thus":[45],"inaccurate":[46],"or":[47],"ambiguous":[48],"conclusions.":[49],"Here,":[50],"we":[51,144,163,187,211],"show":[52],"how":[53,201],"deep":[54,73],"learning":[55],"be":[57,205],"powerfully":[58],"leveraged":[59],"apply":[61,164],"parameters.":[66,93],"Our":[67],"method,":[68],"FixFit,":[69],"uses":[70],"a":[71,77,87,102,160,177,218],"feedforward":[72],"neural":[74],"network":[75],"with":[76],"bottleneck":[78],"layer":[79],"characterize":[81],"predict":[83],"behavior":[85],"given":[88],"its":[91],"input":[92],"FixFit":[94,165],"has":[95],"three":[96,141],"major":[97],"benefits.":[98],"First,":[99],"it":[100,113,122,213],"provides":[101,123],"metric":[103],"quantify":[105],"original":[107],"model's":[108],"degree":[109],"complexity.":[111],"Second,":[112],"allows":[114],"for":[115,171,217,227],"unique":[117],"fitting":[118],"data.":[120,198],"Third,":[121],"an":[124],"unbiased":[125],"way":[126],"discriminate":[128],"between":[129],"experimental":[130],"hypotheses":[131],"add":[133],"value":[134],"versus":[135],"do":[138],"not.":[139],"In":[140,184],"use":[142,212],"cases,":[143],"demonstrate":[145,188],"broad":[147],"applicability":[148],"this":[150],"method":[151,158,203],"across":[152],"scientific":[153],"domains.":[154],"To":[155,199],"validate":[156],"using":[159],"known":[161,168],"system,":[162],"recover":[167],"composite":[169],"Kepler":[173],"orbit":[174],"dynamic":[178],"blood":[181],"glucose":[182],"regulation.":[183],"latter,":[186],"ability":[190],"fit":[192],"latent":[194],"real":[197],"illustrate":[200],"applied":[206],"less":[208],"well-established":[209],"fields,":[210],"identify":[215],"multi-scale":[219],"brain":[220],"reduce":[223],"search":[225],"space":[226],"viable":[228],"candidate":[229],"mechanisms.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}