{"id":"https://openalex.org/W2977822897","doi":"https://doi.org/10.1109/ijcnn.2019.8851890","title":"Modular Multilayer Neural Networks Integrate Multisensory Information Near-optimally","display_name":"Modular Multilayer Neural Networks Integrate Multisensory Information Near-optimally","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977822897","doi":"https://doi.org/10.1109/ijcnn.2019.8851890","mag":"2977822897"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027954937","display_name":"Bat-Amgalan Bat-Erdene","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Bat-Amgalan Bat-Erdene","raw_affiliation_strings":["Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351701","display_name":"He Wang","orcid":"https://orcid.org/0000-0003-2101-8683"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"He Wang","raw_affiliation_strings":["Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081204536","display_name":"K. Y. Michael Wong","orcid":"https://orcid.org/0000-0002-3078-4577"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"K. Y. Michael Wong","raw_affiliation_strings":["Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027954937"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12783987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"427","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9955999851226807,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9955999851226807,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9896000027656555,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8052330017089844},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.7341086864471436},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6402295827865601},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6159396171569824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5807816982269287},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5532127618789673},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5192718505859375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45652666687965393},{"id":"https://openalex.org/keywords/modular-neural-network","display_name":"Modular neural network","score":0.4389972686767578},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43649911880493164},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4333973228931427},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38119933009147644},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.22817063331604004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052330017089844},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.7341086864471436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6402295827865601},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6159396171569824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5807816982269287},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5532127618789673},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5192718505859375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45652666687965393},{"id":"https://openalex.org/C2781121602","wikidata":"https://www.wikidata.org/wiki/Q3504403","display_name":"Modular neural network","level":4,"score":0.4389972686767578},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43649911880493164},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4333973228931427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38119933009147644},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.22817063331604004},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-98963","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2161-4393&rft.volume=&rft.issue=&rft.date=2019&rft.spage=&rft.aulast=Bat-erdene&rft.aufirst=&rft.atitle=Modular%20Multilayer%20Neural%20Networks%20Integrate%20Multisensory%20Information%20Near-optimally&rft.title=2019%20International%20Joint%20Conference%20on%20Neural%20Networks%20(IJCNN)","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-98963","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-98963","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W196276328","https://openalex.org/W1686810756","https://openalex.org/W1799123644","https://openalex.org/W1969090956","https://openalex.org/W1977083296","https://openalex.org/W1981578159","https://openalex.org/W1999018741","https://openalex.org/W2034546031","https://openalex.org/W2043299443","https://openalex.org/W2117539524","https://openalex.org/W2133877521","https://openalex.org/W2135984323","https://openalex.org/W2257198565","https://openalex.org/W2285644164","https://openalex.org/W2962835968","https://openalex.org/W6608060122","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W1558201422","https://openalex.org/W2281615551","https://openalex.org/W2317332738","https://openalex.org/W2022575851","https://openalex.org/W2367028704","https://openalex.org/W794512309","https://openalex.org/W14051135","https://openalex.org/W2541635150","https://openalex.org/W575330181","https://openalex.org/W2789838507"],"abstract_inverted_index":{"Oftentimes":[0],"the":[1,24,38,59,109,113,116,140],"tasks":[2],"that":[3,23,34,108],"we":[4,57],"regularly":[5],"perform":[6],"require":[7],"our":[8],"brain":[9,26],"to":[10,67,138],"integrate":[11,68],"information":[12,114,144],"from":[13,115,145],"multiple":[14,28,69],"sensory":[15],"inputs.":[16,132,149],"Experiments":[17],"on":[18],"human":[19,25],"subjects":[20],"have":[21,43],"shown":[22],"combines":[27,112],"modalities":[29],"in":[30,77,119],"an":[31,103],"optimal":[32],"way":[33],"is":[35,127],"predicted":[36],"by":[37,102],"Bayesian":[39],"inference.":[40],"However,":[41],"there":[42],"been":[44],"few":[45],"studies":[46],"regarding":[47],"whether":[48],"deep":[49],"neural":[50,65],"networks":[51],"can":[52,135],"achieve":[53],"this":[54],"feat.":[55],"Hence,":[56],"explore":[58],"capability":[60],"of":[61,71],"a":[62,75,88,98,120],"modular":[63],"multilayer":[64],"network":[66,92,110],"sources":[70],"information.":[72],"We":[73,106],"designed":[74],"task":[76],"which":[78],"two":[79,94,117,148],"cameras,":[80],"one":[81,84],"left":[82],"and":[83],"right,":[85],"are":[86],"monitoring":[87],"rotating":[89],"chair.":[90],"Our":[91],"comprises":[93],"modules,":[95],"each":[96],"processing":[97],"camera":[99],"input,":[100],"connected":[101],"integrator":[104],"layer.":[105],"find":[107],"successfully":[111],"cameras":[118],"nearly":[121],"Bayes-optimal":[122],"manner,":[123],"even":[124],"when":[125],"it":[126],"only":[128],"trained":[129],"with":[130],"single-camera":[131],"Further":[133],"works":[134],"be":[136],"done":[137],"study":[139],"capacity":[141],"for":[142],"integrating":[143],"more":[146],"than":[147]},"counts_by_year":[],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}