{"id":"https://openalex.org/W4312338844","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892873","title":"Dynamic Signal Suppression Increases the Fidelity of Looming Perception Against Input Variability","display_name":"Dynamic Signal Suppression Increases the Fidelity of Looming Perception Against Input Variability","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312338844","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892873"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892873","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100438049","display_name":"Zhiqiang Li","orcid":"https://orcid.org/0000-0002-0174-9254"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Li","raw_affiliation_strings":["Guangzhou University,School of Mathematics and Information Science,China","Machine Life and Intelligence Research Centre, Guangzhou University, China","School of Mathematics and Information Science, Guangzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Mathematics and Information Science,China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Machine Life and Intelligence Research Centre, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007505981","display_name":"Qinbing Fu","orcid":"https://orcid.org/0000-0002-5726-6956"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinbing Fu","raw_affiliation_strings":["Guangzhou University,School of Mathematics and Information Science,China","Machine Life and Intelligence Research Centre, Guangzhou University, China","School of Mathematics and Information Science, Guangzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Mathematics and Information Science,China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Machine Life and Intelligence Research Centre, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342508","display_name":"Haiyang Li","orcid":"https://orcid.org/0000-0001-7238-2456"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Li","raw_affiliation_strings":["Guangzhou University,School of Mathematics and Information Science,China","Machine Life and Intelligence Research Centre, Guangzhou University, China","School of Mathematics and Information Science, Guangzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Mathematics and Information Science,China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Machine Life and Intelligence Research Centre, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059786971","display_name":"Shigang Yue","orcid":"https://orcid.org/0000-0002-1899-6307"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shigang Yue","raw_affiliation_strings":["University of Lincoln,School of Computer Science,United Kingdom","School of Computer Science, University of Lincoln, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lincoln,School of Computer Science,United Kingdom","institution_ids":["https://openalex.org/I51532219"]},{"raw_affiliation_string":"School of Computer Science, University of Lincoln, United Kingdom","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003653964","display_name":"Jigen Peng","orcid":"https://orcid.org/0000-0002-7207-3183"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigen Peng","raw_affiliation_strings":["Guangzhou University,School of Mathematics and Information Science,China","School of Mathematics and Information Science, Guangzhou University, China","Machine Life and Intelligence Research Centre, Guangzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Mathematics and Information Science,China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Machine Life and Intelligence Research Centre, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.9986000061035156,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9878000020980835,"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/looming","display_name":"Looming","score":0.9958996772766113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6390999555587769},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6332669854164124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6266963481903076},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5848388075828552},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.5226342678070068},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5124486088752747},{"id":"https://openalex.org/keywords/motion-perception","display_name":"Motion perception","score":0.43504437804222107},{"id":"https://openalex.org/keywords/locust","display_name":"Locust","score":0.41445744037628174},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.26646649837493896},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2166396677494049},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1399853229522705},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10780829191207886},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08884042501449585}],"concepts":[{"id":"https://openalex.org/C142812007","wikidata":"https://www.wikidata.org/wiki/Q6675553","display_name":"Looming","level":2,"score":0.9958996772766113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6390999555587769},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6332669854164124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6266963481903076},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5848388075828552},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.5226342678070068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5124486088752747},{"id":"https://openalex.org/C48575856","wikidata":"https://www.wikidata.org/wiki/Q852504","display_name":"Motion perception","level":3,"score":0.43504437804222107},{"id":"https://openalex.org/C2776041477","wikidata":"https://www.wikidata.org/wiki/Q83931","display_name":"Locust","level":2,"score":0.41445744037628174},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.26646649837493896},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2166396677494049},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1399853229522705},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10780829191207886},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08884042501449585},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892873","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1955753231","https://openalex.org/W1984478493","https://openalex.org/W1989359103","https://openalex.org/W1989621138","https://openalex.org/W1990870244","https://openalex.org/W1994298432","https://openalex.org/W1997781091","https://openalex.org/W2011578507","https://openalex.org/W2025654941","https://openalex.org/W2027562621","https://openalex.org/W2037932249","https://openalex.org/W2059216161","https://openalex.org/W2060636700","https://openalex.org/W2062066197","https://openalex.org/W2073574081","https://openalex.org/W2096486230","https://openalex.org/W2106608123","https://openalex.org/W2111880621","https://openalex.org/W2119610790","https://openalex.org/W2138260451","https://openalex.org/W2189723131","https://openalex.org/W2202142365","https://openalex.org/W2516546718","https://openalex.org/W2528662291","https://openalex.org/W2584088798","https://openalex.org/W2735565480","https://openalex.org/W2800226686","https://openalex.org/W2936419319","https://openalex.org/W2968094342","https://openalex.org/W2990230838","https://openalex.org/W2999804811","https://openalex.org/W3006721675","https://openalex.org/W3035258881","https://openalex.org/W3039558803","https://openalex.org/W3104030216","https://openalex.org/W3190041142","https://openalex.org/W3199086947","https://openalex.org/W4231156366","https://openalex.org/W6674446112","https://openalex.org/W6761081922"],"related_works":["https://openalex.org/W1578023453","https://openalex.org/W2004956203","https://openalex.org/W2122436384","https://openalex.org/W2486805410","https://openalex.org/W2888673677","https://openalex.org/W2082176614","https://openalex.org/W2117529001","https://openalex.org/W2034067697","https://openalex.org/W2804250515","https://openalex.org/W1967104529"],"abstract_inverted_index":{"The":[0,43],"perception":[1,46,116,242],"of":[2,11,71,107,130,155,165,196,209,227,239],"looming":[3,31,45,61,72,115,228,241],"objects":[4,32],"moving":[5],"in":[6,21,33,75,87,216,236],"depth":[7],"is":[8,36,168],"a":[9,40,157],"basis":[10],"artificially":[12],"dynamic":[13,211],"vision":[14],"system,":[15],"which":[16,79,222],"has":[17],"been":[18],"widely":[19],"used":[20],"robots":[22],"for":[23],"autonomous":[24],"obstacle":[25],"detection-and-avoidance.":[26],"How":[27],"to":[28,110,148,161,170,191,213],"reliably":[29],"detect":[30],"chaotic":[34],"environments":[35],"prerequisite,":[37],"however,":[38],"still":[39],"challenging":[41],"problem.":[42],"current":[44,113],"models":[47],"or":[48],"neural":[49,90,219],"networks":[50],"are":[51,77,84,123],"greatly":[52],"affected":[53],"by":[54],"input":[55,200],"variability":[56,201],"on":[57,202],"visual":[58,89,131],"contrast":[59,82,119,138,164],"between":[60,96],"object":[62],"and":[63,98,181,189,194],"its":[64,234],"background.":[65],"In":[66,126,151],"this":[67,100],"case,":[68],"the":[69,93,105,112,127,133,142,152,175,184,207,217,225,237],"responses":[70],"detection":[73],"neurons":[74],"animals":[76],"robust,":[78],"suggests":[80],"that":[81],"cues":[83],"well":[85],"encoded":[86],"biological":[88],"pathways.":[91],"Considering":[92],"physiological":[94],"homology":[95],"Drosophila":[97,108],"locust,":[99],"paper":[101],"draws":[102],"lessons":[103],"from":[104],"progress":[106],"physiology":[109],"improve":[111],"locust-inspired":[114],"model.":[117],"Two":[118],"computation":[120],"schemes":[121],"herein":[122],"proposed:":[124],"(1)":[125],"early":[128],"stage":[129,154],"processing,":[132,156],"instantaneous":[134],"feedback":[135],"mechanism":[136],"based":[137],"normalisation":[139],"dynamically":[140],"suppress":[141],"preliminary":[143],"motion":[144,166,214],"signals":[145,215],"with":[146],"respect":[147],"time.":[149],"(2)":[150],"later":[153],"parallel":[158],"channel":[159],"dedicated":[160],"calculating":[162],"local":[163],"signal":[167],"converged":[169],"weaken":[171],"high-contrast":[172],"signals.":[173],"Through":[174],"comparative":[176],"tests":[177],"against":[178,198],"many":[179],"pure":[180],"natural":[182],"scenes,":[183],"proposed":[185,218],"method":[186],"works":[187],"effectively":[188],"robustly":[190],"reduce":[192],"fluctuation":[193],"variance":[195],"response":[197],"high":[199],"contrast.":[203],"Here":[204],"we":[205],"highlight":[206],"effectiveness":[208],"temporally":[210],"suppression":[212],"network":[220],"model,":[221],"significantly":[223],"improves":[224],"fidelity":[226],"perception.":[229],"This":[230],"study":[231],"also":[232],"shows":[233],"competitiveness":[235],"repository":[238],"bio-inspired":[240],"models.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}