{"id":"https://openalex.org/W4403578656","doi":"https://doi.org/10.48550/arxiv.2410.11164","title":"The Influence of Initial Connectivity on Biologically Plausible Learning","display_name":"The Influence of Initial Connectivity on Biologically Plausible Learning","publication_year":2024,"publication_date":"2024-10-15","ids":{"openalex":"https://openalex.org/W4403578656","doi":"https://doi.org/10.48550/arxiv.2410.11164"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2410.11164","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.11164","pdf_url":"https://arxiv.org/pdf/2410.11164","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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.11164","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011212838","display_name":"W. M. Liu","orcid":"https://orcid.org/0009-0005-0222-1784"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liu, Weixuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319948","display_name":"Xinyue Zhang","orcid":"https://orcid.org/0000-0001-8919-1664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xinyue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000825007","display_name":"Yuhan Helena Liu","orcid":"https://orcid.org/0000-0001-7269-8338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yuhan Helena","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011212838"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9495999813079834,"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":0.9495999813079834,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9193999767303467,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5135903358459473},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5119155645370483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5111990571022034},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.504541277885437},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.45049726963043213},{"id":"https://openalex.org/keywords/neural-activity","display_name":"Neural activity","score":0.4151408076286316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3650091886520386},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2663925290107727},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.25085127353668213},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19623199105262756},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.12779009342193604}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5135903358459473},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5119155645370483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5111990571022034},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.504541277885437},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.45049726963043213},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.4151408076286316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3650091886520386},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2663925290107727},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25085127353668213},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19623199105262756},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.12779009342193604}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2410.11164","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.11164","pdf_url":"https://arxiv.org/pdf/2410.11164","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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2410.11164","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2410.11164","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":"pmh:oai:arXiv.org:2410.11164","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.11164","pdf_url":"https://arxiv.org/pdf/2410.11164","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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7913829644","display_name":null,"funder_award_id":"NSERC PGS-D","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8801411701","display_name":null,"funder_award_id":"PGS-D","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320334841","display_name":"Fonds de recherche du Qu\u00e9bec \u2013 Nature et technologies","ror":"https://ror.org/00b9f9778"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403578656.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2969450769"],"abstract_inverted_index":{"Understanding":[0],"how":[1,66],"the":[2,35,106,125,135,154,162,181,185,213],"brain":[3,28,90],"learns":[4],"can":[5,207],"be":[6],"advanced":[7],"by":[8],"investigating":[9],"biologically":[10,93,166,190,201],"plausible":[11,94,167,191,202],"learning":[12,29,56,72,95,107,168,174,192,219],"rules":[13,193],"--":[14],"those":[15],"that":[16,100,138],"obey":[17],"known":[18],"biological":[19],"constraints,":[20],"such":[21,44,110],"as":[22,26,223,225],"locality,":[23],"to":[24,145,165,183,197,209],"serve":[25],"valid":[27],"models.":[30,45],"Yet,":[31],"many":[32],"studies":[33],"overlook":[34],"role":[36],"of":[37,109,187,215],"architecture":[38],"and":[39,130,169,196,221],"initial":[40,68,101,216],"synaptic":[41,69],"connectivity":[42,70,217],"in":[43,73,116,173],"Building":[46],"on":[47,143,189,218],"insights":[48],"from":[49],"deep":[50],"learning,":[51],"where":[52],"initialization":[53,140,188],"profoundly":[54],"affects":[55],"dynamics,":[57],"we":[58,79,133,152,179],"ask":[59],"a":[60,200],"key":[61],"but":[62],"underexplored":[63],"neuroscience":[64],"question:":[65],"does":[67],"shape":[71],"neural":[74,82],"circuits?":[75],"To":[76,176],"investigate":[77],"this,":[78],"train":[80],"recurrent":[81],"networks":[83],"(RNNs),":[84],"which":[85,160],"are":[86,180],"widely":[87],"used":[88],"for":[89,194],"modeling,":[91],"with":[92,118],"rules.":[96],"Our":[97],"findings":[98],"reveal":[99],"weight":[102],"magnitude":[103],"significantly":[104],"influences":[105],"performance":[108],"rules,":[111],"mirroring":[112],"effects":[113],"previously":[114],"observed":[115,170],"training":[117,144],"backpropagation":[119],"through":[120],"time":[121],"(BPTT).":[122],"By":[123],"examining":[124],"maximum":[126],"Lyapunov":[127,163],"exponent":[128],"before":[129],"after":[131],"training,":[132],"uncovered":[134],"greater":[136],"demands":[137],"certain":[139],"schemes":[141],"place":[142],"achieve":[146],"desired":[147],"information":[148],"propagation":[149],"properties.":[150],"Consequently,":[151],"extended":[153],"recently":[155],"proposed":[156],"gradient":[157],"flossing":[158],"method,":[159],"regularizes":[161],"exponents,":[164],"an":[171,205],"improvement":[172],"performance.":[175],"our":[177],"knowledge,":[178],"first":[182],"examine":[184],"impact":[186],"RNNs":[195],"subsequently":[198],"propose":[199],"remedy.":[203],"Such":[204],"investigation":[206],"lead":[208],"neuroscientific":[210],"predictions":[211],"about":[212],"influence":[214],"dynamics":[220],"performance,":[222],"well":[224],"guide":[226],"neuromorphic":[227],"design.":[228]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2024-10-20T00:00:00"}