{"id":"https://openalex.org/W2142257273","doi":"https://doi.org/10.1109/tnn.2009.2039943","title":"Fast Vision Through Frameless Event-Based Sensing and Convolutional Processing: Application to Texture Recognition","display_name":"Fast Vision Through Frameless Event-Based Sensing and Convolutional Processing: Application to Texture Recognition","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2142257273","doi":"https://doi.org/10.1109/tnn.2009.2039943","mag":"2142257273","pmid":"https://pubmed.ncbi.nlm.nih.gov/20181543"},"language":"en","primary_location":{"id":"doi:10.1109/tnn.2009.2039943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2009.2039943","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5033067376","display_name":"J. A. P\u00e9rez\u2010Carrasco","orcid":"https://orcid.org/0000-0002-9511-2499"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]},{"id":"https://openalex.org/I4210104545","display_name":"Instituto de Microelectr\u00f3nica de Sevilla","ror":"https://ror.org/01mqtzm43","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210104545","https://openalex.org/I4210147934","https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jos\u00e9 Antonio Perez-Carrasco","raw_affiliation_strings":["Dpto. Teor\u00eda de la Se\u00f1al, ETSIT, Universidadde Sevilla, Sevilla, Spain","Instituto de Microelectr\u00f3nica de Sevilla (IMSE-CNM), Seville, Spain","Departmento Teor\u00eda de la Senal, ETSIT, Universidad de Sevilla, Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Dpto. Teor\u00eda de la Se\u00f1al, ETSIT, Universidadde Sevilla, Sevilla, Spain","institution_ids":[]},{"raw_affiliation_string":"Instituto de Microelectr\u00f3nica de Sevilla (IMSE-CNM), Seville, Spain","institution_ids":["https://openalex.org/I4210104545"]},{"raw_affiliation_string":"Departmento Teor\u00eda de la Senal, ETSIT, Universidad de Sevilla, Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004205811","display_name":"Bego\u00f1a Acha","orcid":"https://orcid.org/0000-0001-7838-5746"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Bego\u00f1a Acha","raw_affiliation_strings":["Departmento de Teor\u00eda de la Senal, ETSIT, Universidad de Sevilla, Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Departmento de Teor\u00eda de la Senal, ETSIT, Universidad de Sevilla, Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013653280","display_name":"Carmen Serrano","orcid":"https://orcid.org/0000-0003-3008-6231"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carmen Serrano","raw_affiliation_strings":["Departmento de Teor\u00eda de la Senal, ETSIT, Universidad de Sevilla, Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Departmento de Teor\u00eda de la Senal, ETSIT, Universidad de Sevilla, Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006993163","display_name":"Luis A. Camu\u00f1as-Mesa","orcid":"https://orcid.org/0000-0002-3425-854X"},"institutions":[{"id":"https://openalex.org/I4210104545","display_name":"Instituto de Microelectr\u00f3nica de Sevilla","ror":"https://ror.org/01mqtzm43","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210104545","https://openalex.org/I4210147934","https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Camunas-Mesa","raw_affiliation_strings":["Instituto de Microelectr\u00f3nica de Sevilla (IMSE-CNM), Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Instituto de Microelectr\u00f3nica de Sevilla (IMSE-CNM), Seville, Spain","institution_ids":["https://openalex.org/I4210104545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079540787","display_name":"Teresa Serrano\u2010Gotarredona","orcid":"https://orcid.org/0000-0001-5714-2526"},"institutions":[{"id":"https://openalex.org/I4210104545","display_name":"Instituto de Microelectr\u00f3nica de Sevilla","ror":"https://ror.org/01mqtzm43","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210104545","https://openalex.org/I4210147934","https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Teresa Serrano-Gotarredona","raw_affiliation_strings":["Instituto de Microelectr\u00f3nica de Sevilla (IMSE-CNM), Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Instituto de Microelectr\u00f3nica de Sevilla (IMSE-CNM), Seville, Spain","institution_ids":["https://openalex.org/I4210104545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025922642","display_name":"B. Linares-Barranco","orcid":"https://orcid.org/0000-0002-1813-4889"},"institutions":[{"id":"https://openalex.org/I4210104545","display_name":"Instituto de Microelectr\u00f3nica de Sevilla","ror":"https://ror.org/01mqtzm43","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210104545","https://openalex.org/I4210147934","https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Bernab\u00e9 Linares-Barranco","raw_affiliation_strings":["Instituto de Microelectr\u00f3nica de Sevilla (IMSE-CNM), Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Instituto de Microelectr\u00f3nica de Sevilla (IMSE-CNM), Seville, Spain","institution_ids":["https://openalex.org/I4210104545"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033067376"],"corresponding_institution_ids":["https://openalex.org/I4210104545","https://openalex.org/I79238269"],"apc_list":null,"apc_paid":null,"fwci":4.4115,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94753072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"4","first_page":"609","last_page":"620"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9987000226974487,"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":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.825958251953125},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7523579597473145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6611970663070679},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5270148515701294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4997894763946533},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49849653244018555},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.483825147151947},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48188501596450806},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4567261338233948},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.44515615701675415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43463119864463806},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.432567298412323},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4252951741218567},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4161544442176819},{"id":"https://openalex.org/keywords/parallel-processing","display_name":"Parallel processing","score":0.4104013442993164},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3011872172355652},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11320611834526062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825958251953125},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7523579597473145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6611970663070679},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5270148515701294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4997894763946533},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49849653244018555},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.483825147151947},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48188501596450806},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4567261338233948},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.44515615701675415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43463119864463806},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.432567298412323},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4252951741218567},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4161544442176819},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.4104013442993164},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3011872172355652},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11320611834526062},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tnn.2009.2039943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2009.2039943","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks","raw_type":"journal-article"},{"id":"pmid:20181543","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20181543","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks","raw_type":null},{"id":"pmh:oai:idus.us.es:11441/71324","is_oa":false,"landing_page_url":"https://idus.us.es/handle//11441/71324","pdf_url":null,"source":{"id":"https://openalex.org/S4306400333","display_name":"idUS (Universidad de Sevilla)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79238269","host_organization_name":"Universidad de Sevilla","host_organization_lineage":["https://openalex.org/I79238269"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:digital.csic.es:10261/83184","is_oa":false,"landing_page_url":"http://hdl.handle.net/10261/83184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400616","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"art\u00edculo"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2494529146","display_name":"NAnocomputing Building blocks with Acquired Behaviour","funder_award_id":"216777","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1538131130","https://openalex.org/W1547056875","https://openalex.org/W1552705592","https://openalex.org/W1596318652","https://openalex.org/W1604558949","https://openalex.org/W1653079019","https://openalex.org/W1972281563","https://openalex.org/W1973116035","https://openalex.org/W1975826132","https://openalex.org/W1991133733","https://openalex.org/W1991605728","https://openalex.org/W2009875563","https://openalex.org/W2014556426","https://openalex.org/W2016574277","https://openalex.org/W2027914108","https://openalex.org/W2031586513","https://openalex.org/W2041189913","https://openalex.org/W2044465660","https://openalex.org/W2056472112","https://openalex.org/W2059432853","https://openalex.org/W2060199006","https://openalex.org/W2065301447","https://openalex.org/W2084539281","https://openalex.org/W2086900290","https://openalex.org/W2087699890","https://openalex.org/W2092629705","https://openalex.org/W2095666821","https://openalex.org/W2095725009","https://openalex.org/W2096265622","https://openalex.org/W2098347925","https://openalex.org/W2098623091","https://openalex.org/W2100822251","https://openalex.org/W2100860054","https://openalex.org/W2101628530","https://openalex.org/W2101965184","https://openalex.org/W2105847589","https://openalex.org/W2106138042","https://openalex.org/W2109627206","https://openalex.org/W2109812093","https://openalex.org/W2110958380","https://openalex.org/W2112796928","https://openalex.org/W2117853853","https://openalex.org/W2121221900","https://openalex.org/W2124353687","https://openalex.org/W2125136535","https://openalex.org/W2125148312","https://openalex.org/W2125357468","https://openalex.org/W2125837007","https://openalex.org/W2126833203","https://openalex.org/W2129066464","https://openalex.org/W2132241724","https://openalex.org/W2133376531","https://openalex.org/W2135587681","https://openalex.org/W2136218851","https://openalex.org/W2144354855","https://openalex.org/W2144982973","https://openalex.org/W2146106467","https://openalex.org/W2147030841","https://openalex.org/W2149312769","https://openalex.org/W2152690055","https://openalex.org/W2154891463","https://openalex.org/W2155159601","https://openalex.org/W2157628160","https://openalex.org/W2160966992","https://openalex.org/W2162018804","https://openalex.org/W2163288878","https://openalex.org/W2164660269","https://openalex.org/W2165550102","https://openalex.org/W2168977926","https://openalex.org/W2169327696","https://openalex.org/W2172704881","https://openalex.org/W2182443797","https://openalex.org/W2313062648","https://openalex.org/W2418928192","https://openalex.org/W6678665702","https://openalex.org/W6679511177"],"related_works":["https://openalex.org/W2152604155","https://openalex.org/W4231049626","https://openalex.org/W1874281533","https://openalex.org/W2162784528","https://openalex.org/W2356073772","https://openalex.org/W2566290947","https://openalex.org/W2382360564","https://openalex.org/W4235212482","https://openalex.org/W2043376673","https://openalex.org/W2141362988"],"abstract_inverted_index":{"Address-event":[0],"representation":[1],"(AER)":[2],"is":[3,69,77,90,133,163,250,267],"an":[4,264],"emergent":[5],"hardware":[6,193,231],"technology":[7],"which":[8,109],"shows":[9],"a":[10,19,59,65,112,129,137,213,222],"high":[11,114],"potential":[12],"for":[13,23,30,82,98,177,190],"providing":[14],"in":[15,47,58,128,136],"the":[16,120,143,159,197],"near":[17,138],"future":[18,139],"solid":[20],"technological":[21],"substrate":[22],"emulating":[24],"brain-like":[25,99],"processing":[26,42,68,101,225],"structures.":[27],"When":[28],"used":[29],"vision,":[31],"AER":[32,106,185,204,230],"sensors":[33],"and":[34,41,54,93,170,238,270],"processors":[35],"are":[36,102],"not":[37,251],"restricted":[38],"to":[39,72,80,165,168],"capturing":[40],"still":[43],"image":[44],"frames,":[45],"as":[46,117,119],"commercial":[48],"frame-based":[49,233],"video":[50],"technology,":[51],"but":[52],"sense":[53],"process":[55],"visual":[56],"information":[57,89],"pixel-level":[60],"event-based":[61,216,224],"frameless":[62],"manner.":[63],"As":[64],"result,":[66],"vision":[67,73,100],"practically":[70],"simultaneous":[71],"sensing,":[74],"since":[75],"there":[76],"no":[78],"need":[79],"wait":[81],"sensing":[83],"full":[84],"frames.":[85],"Also,":[86],"only":[87],"meaningful":[88],"sensed,":[91],"communicated,":[92],"processed.":[94],"Of":[95],"special":[96],"interest":[97],"some":[103,161],"already":[104,201],"reported":[105],"convolutional":[107,125,148,175,187],"chips,":[108,206],"have":[110,220,239],"revealed":[111],"very":[113],"computational":[115],"throughput":[116],"well":[118],"possibility":[121],"of":[122,145,155,200],"assembling":[123],"large":[124,146,173,209],"neural":[126,149,188],"networks":[127,150,176,189,211],"modular":[130],"fashion.":[131],"It":[132],"expected":[134],"that":[135,227,258],"we":[140,183,207,256],"may":[141],"witness":[142],"appearance":[144],"scale":[147,174,210],"with":[151,229],"hundreds":[152],"or":[153],"thousands":[154],"individual":[156,203],"modules.":[157],"In":[158,180],"meantime,":[160],"research":[162],"needed":[164],"investigate":[166],"how":[167],"assemble":[169],"configure":[171],"such":[172],"specific":[178],"applications.":[179,194],"this":[181],"paper,":[182],"analyze":[184],"spiking":[186],"texture":[191],"recognition":[192,235,259],"Based":[195],"on":[196],"performance":[198,242,249],"figures":[199],"available":[202],"convolution":[205],"emulate":[208],"using":[212,243],"custom":[214],"made":[215],"behavioral":[217,245],"simulator.":[218,246],"We":[219],"developed":[221],"new":[223],"architecture":[226],"emulates":[228],"Manjunath's":[232],"feature":[234],"software":[236],"algorithm,":[237],"analyzed":[240],"its":[241],"our":[244],"Recognition":[247],"rate":[248],"degraded.":[252],"However,":[253],"regarding":[254],"speed,":[255],"show":[257],"can":[260],"be":[261],"achieved":[262],"before":[263],"equivalent":[265],"frame":[266],"fully":[268],"sensed":[269],"transmitted.":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}