{"id":"https://openalex.org/W2338819753","doi":"https://doi.org/10.1109/biorob.2016.7523449","title":"Invariant feature extraction from event based stimuli","display_name":"Invariant feature extraction from event based stimuli","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2338819753","doi":"https://doi.org/10.1109/biorob.2016.7523449","mag":"2338819753"},"language":"en","primary_location":{"id":"doi:10.1109/biorob.2016.7523449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob.2016.7523449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1604.04327","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088322732","display_name":"Thusitha N. Chandrapala","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":"Thusitha N. Chandrapala","raw_affiliation_strings":["Hong Kong University of Science and Technology","Hong Kong Univ. of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong Univ. of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068036711","display_name":"Bertram E. Shi","orcid":"https://orcid.org/0000-0001-9167-7495"},"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":"Bertram E. Shi","raw_affiliation_strings":["Hong Kong University of Science and Technology","Hong Kong Univ. of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong Univ. of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088322732"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.1859,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55894223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"47","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7591314315795898},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6575819849967957},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.6538444757461548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6277310848236084},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.603054404258728},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5938926935195923},{"id":"https://openalex.org/keywords/slowness","display_name":"Slowness","score":0.5717829465866089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5693022608757019},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5263258814811707},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.503997266292572},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.46575552225112915},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3342842161655426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0930001437664032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591314315795898},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6575819849967957},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.6538444757461548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6277310848236084},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.603054404258728},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5938926935195923},{"id":"https://openalex.org/C11940443","wikidata":"https://www.wikidata.org/wiki/Q16965645","display_name":"Slowness","level":2,"score":0.5717829465866089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5693022608757019},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5263258814811707},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.503997266292572},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.46575552225112915},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3342842161655426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0930001437664032},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/biorob.2016.7523449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob.2016.7523449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1604.04327","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1604.04327","pdf_url":"https://arxiv.org/pdf/1604.04327","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2338819753","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1604.04327","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-80589","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-84983443970&origin=inward","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":"doi:10.48550/arxiv.1604.04327","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1604.04327","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:1604.04327","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1604.04327","pdf_url":"https://arxiv.org/pdf/1604.04327","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323383","display_name":"Technische Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/02kkvpp62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2338819753.pdf","grobid_xml":"https://content.openalex.org/works/W2338819753.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W946256365","https://openalex.org/W1963689209","https://openalex.org/W1980178290","https://openalex.org/W1992039040","https://openalex.org/W2016574277","https://openalex.org/W2020096355","https://openalex.org/W2066137638","https://openalex.org/W2067216606","https://openalex.org/W2085491337","https://openalex.org/W2096388912","https://openalex.org/W2112796928","https://openalex.org/W2115234249","https://openalex.org/W2125838338","https://openalex.org/W2132870234","https://openalex.org/W2145862222","https://openalex.org/W2154642802","https://openalex.org/W2162955556","https://openalex.org/W2163288878","https://openalex.org/W2165396124","https://openalex.org/W2313320147","https://openalex.org/W2469278928","https://openalex.org/W6698914884"],"related_works":["https://openalex.org/W2963497435","https://openalex.org/W2963907377","https://openalex.org/W2903106298","https://openalex.org/W2979969178","https://openalex.org/W2767891706","https://openalex.org/W2964069836","https://openalex.org/W2903453900","https://openalex.org/W2593792475","https://openalex.org/W2587279613","https://openalex.org/W3084976215","https://openalex.org/W2836347898","https://openalex.org/W3187259265","https://openalex.org/W2963740313","https://openalex.org/W2560590061","https://openalex.org/W2275440385","https://openalex.org/W2218583826","https://openalex.org/W2885380930","https://openalex.org/W3187822442","https://openalex.org/W2945621340","https://openalex.org/W3010739957"],"abstract_inverted_index":{"We":[0,86],"propose":[1],"a":[2],"novel":[3],"architecture,":[4],"the":[5,44,61,69,88,91,99,124,129,132,143,158],"event-based":[6],"Generative":[7],"Adaptive":[8],"Subspace":[9],"Self-Organizing":[10],"Map":[11],"(GASSOM)":[12],"for":[13,35,102,134],"learning":[14],"and":[15,48,84,126,138],"extracting":[16],"invariant":[17],"representations":[18],"from":[19,23],"event":[20,116],"streams":[21],"originating":[22],"neuromorphic":[24],"vision":[25],"sensors.":[26],"The":[27,38,105],"framework":[28,92],"is":[29,41,51],"inspired":[30],"by":[31,97],"feed-forward":[32],"cortical":[33],"models":[34],"visual":[36,63],"processing.":[37],"model,":[39],"which":[40,150],"based":[42,117],"on":[43,93,153],"concepts":[45],"of":[46,66,82,90,128,146,157],"sparsity":[47],"temporal":[49],"slowness,":[50],"able":[52],"to":[53,75,113],"learn":[54,76],"feature":[55,77,148],"extractors":[56,78],"that":[57],"resemble":[58],"neurons":[59],"in":[60,68],"primary":[62],"cortex.":[64],"Layers":[65],"units":[67],"proposed":[70,106],"model":[71,107],"can":[72],"be":[73],"cascaded":[74],"with":[79],"different":[80,135,139],"levels":[81],"complexity":[83],"selectivity.":[85],"explore":[87],"applicability":[89],"real":[94],"world":[95],"tasks":[96,140],"using":[98],"learned":[100,147],"network":[101],"object":[103],"recognition.":[104],"achieve":[108],"higher":[109],"classification":[110],"accuracy":[111],"compared":[112],"other":[114],"state-of-the-art":[115],"processing":[118],"methods.":[119],"Our":[120],"results":[121],"also":[122],"demonstrate":[123],"generality":[125],"robustness":[127],"method,":[130],"as":[131],"recognizers":[133],"data":[136,154],"sets":[137],"all":[141],"used":[142],"same":[144],"set":[145],"detectors,":[149],"were":[151],"trained":[152],"collected":[155],"independently":[156],"testing":[159],"data.":[160]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
