{"id":"https://openalex.org/W7155402720","doi":"https://doi.org/10.48550/arxiv.2604.20524","title":"Response time of lateral predictive coding and benefits of modular structures","display_name":"Response time of lateral predictive coding and benefits of modular structures","publication_year":2026,"publication_date":"2026-04-22","ids":{"openalex":"https://openalex.org/W7155402720","doi":"https://doi.org/10.48550/arxiv.2604.20524"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.20524","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20524","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.20524","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134431003","display_name":"Guanghui Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Guanghui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040083824","display_name":"Zhen-Ye Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zhen-Ye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663684","display_name":"Weikang Wang","orcid":"https://orcid.org/0000-0001-9591-8559"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Weikang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5008074295","display_name":"Haijun Zhou","orcid":"https://orcid.org/0000-0003-4228-4438"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Hai-Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10581","display_name":"Neural dynamics and brain function","score":0.24699999392032623,"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":0.24699999392032623,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.18549999594688416,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.10999999940395355,"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/robustness","display_name":"Robustness (evolution)","score":0.7002000212669373},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6859999895095825},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46480000019073486},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4578999876976013},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45159998536109924},{"id":"https://openalex.org/keywords/response-time","display_name":"Response time","score":0.44449999928474426},{"id":"https://openalex.org/keywords/predictive-coding","display_name":"Predictive coding","score":0.3668999969959259},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3619000017642975}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7002000212669373},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6859999895095825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100000143051147},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46480000019073486},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4578999876976013},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45159998536109924},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4059000015258789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38609999418258667},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.3668999969959259},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3619000017642975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3416000008583069},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.3336000144481659},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2736000120639801},{"id":"https://openalex.org/C2781121602","wikidata":"https://www.wikidata.org/wiki/Q3504403","display_name":"Modular neural network","level":4,"score":0.2632000148296356},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.20524","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20524","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:10.48550/arxiv.2604.20524","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20524","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Lateral":[0],"predictive":[1,99],"coding":[2],"(LPC)":[3],"is":[4],"a":[5,118],"simple":[6],"theoretical":[7,18],"framework":[8],"to":[9,64,89],"appreciate":[10],"feature":[11,140],"detection":[12,141],"in":[13,62,71,137],"biological":[14],"neural":[15],"circuits.":[16],"Recent":[17],"work":[19],"[Huang":[20],"et":[21],"al.,":[22],"Phys.Rev.E":[23],"112,":[24],"034304":[25],"(2025)]":[26],"has":[27],"successfully":[28],"constructed":[29],"optimal":[30,114],"LPC":[31,84,115],"networks":[32,116],"capable":[33],"of":[34,55,82,107,126,139],"extracting":[35],"non-Gaussian":[36],"hidden":[37],"input":[38],"features":[39],"by":[40],"imposing":[41],"the":[42,51,72,78,83,92,97,104],"tradeoff":[43],"between":[44],"energetic":[45,145],"cost":[46,146],"and":[47,103,147],"information":[48,105,148],"robustness,":[49],"but":[50],"resulting":[52],"dynamical":[53],"systems":[54],"recurrent":[56],"interactions":[57,128],"can":[58,86],"be":[59,87],"very":[60],"slow":[61],"responding":[63],"external":[65],"inputs.":[66],"We":[67,75,110],"investigate":[68],"response-time":[69],"reduction":[70],"present":[73],"paper.":[74],"find":[76],"that":[77,113],"characteristic":[79],"response":[80,143],"time":[81],"system":[85],"minimized":[88],"closely":[90],"approaching":[91],"lower-bound":[93],"value":[94],"without":[95],"compromising":[96],"mean":[98],"error":[100],"(energetic":[101],"cost)":[102],"robustness":[106],"signal":[108],"transmission.":[109],"further":[111],"demonstrate":[112],"taking":[117],"modular":[119],"structural":[120],"organization":[121],"with":[122],"extensively":[123],"reduced":[124],"number":[125],"lateral":[127],"are":[129],"equally":[130],"excellent":[131],"as":[132],"all-to-all":[133],"completely":[134],"connected":[135],"networks,":[136],"terms":[138],"performance,":[142],"time,":[144],"robustness.":[149]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-24T00:00:00"}