{"id":"https://openalex.org/W2593076482","doi":"https://doi.org/10.1109/tbcas.2016.2641983","title":"HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition","display_name":"HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2593076482","doi":"https://doi.org/10.1109/tbcas.2016.2641983","mag":"2593076482","pmid":"https://pubmed.ncbi.nlm.nih.gov/28362614"},"language":"en","primary_location":{"id":"doi:10.1109/tbcas.2016.2641983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2016.2641983","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"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 Biomedical Circuits and Systems","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/A5017719665","display_name":"Alex Pappachen James","orcid":null},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":true,"raw_author_name":"Alex Pappachen James","raw_affiliation_strings":["Bioinspired Microelectronics Systems Lab, Nazarbayev University, Astana, Akmola, Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Bioinspired Microelectronics Systems Lab, Nazarbayev University, Astana, Akmola, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048683389","display_name":"Irina Fedorova","orcid":null},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Irina Fedorova","raw_affiliation_strings":["Bioinspired microelectronics systems group, Nazarbayev University, Astana, Akmola, Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Bioinspired microelectronics systems group, Nazarbayev University, Astana, Akmola, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001819412","display_name":"Timur Ibrayev","orcid":"https://orcid.org/0000-0001-8849-8971"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Timur Ibrayev","raw_affiliation_strings":["Bioinspired microelectronics systems group, Nazarbayev University, Astana, Akmola, Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Bioinspired microelectronics systems group, Nazarbayev University, Astana, Akmola, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067236813","display_name":"Dhireesha Kudithipudi","orcid":"https://orcid.org/0000-0003-4462-5224"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dhireesha Kudithipudi","raw_affiliation_strings":["Nanocomputing Research Lab, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Nanocomputing Research Lab, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017719665"],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":4.4436,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95003801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"11","issue":"3","first_page":"640","last_page":"651"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.996399998664856,"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":0.9952999949455261,"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":0.7650879621505737},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5925581455230713},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.5794331431388855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5283123850822449},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5171924829483032},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.48840469121932983},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4851861596107483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.446214497089386},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.4132782816886902},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39576709270477295},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3322577178478241},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.15631794929504395},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11552295088768005},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09270051121711731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650879621505737},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5925581455230713},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.5794331431388855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5283123850822449},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5171924829483032},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.48840469121932983},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4851861596107483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.446214497089386},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.4132782816886902},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39576709270477295},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3322577178478241},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.15631794929504395},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11552295088768005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09270051121711731},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013067","descriptor_name":"Speech Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013067","descriptor_name":"Speech Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013067","descriptor_name":"Speech Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049250","descriptor_name":"Speech Recognition Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049250","descriptor_name":"Speech Recognition Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049250","descriptor_name":"Speech Recognition Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbcas.2016.2641983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2016.2641983","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"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 Biomedical Circuits and Systems","raw_type":"journal-article"},{"id":"pmid:28362614","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28362614","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 biomedical circuits and systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320981","display_name":"Griffith University","ror":"https://ror.org/02sc3r913"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W86197152","https://openalex.org/W983829968","https://openalex.org/W1511141949","https://openalex.org/W1515653459","https://openalex.org/W1519488437","https://openalex.org/W1563513061","https://openalex.org/W1570688454","https://openalex.org/W1591385104","https://openalex.org/W1635512741","https://openalex.org/W1961566989","https://openalex.org/W1997629593","https://openalex.org/W2011516284","https://openalex.org/W2103560185","https://openalex.org/W2108885157","https://openalex.org/W2112181056","https://openalex.org/W2129230942","https://openalex.org/W2139016795","https://openalex.org/W2149961236","https://openalex.org/W2160481230","https://openalex.org/W2160525801","https://openalex.org/W2162651880","https://openalex.org/W2198527496","https://openalex.org/W2262866646","https://openalex.org/W2288309720","https://openalex.org/W2341342963","https://openalex.org/W2342387592","https://openalex.org/W2468039888","https://openalex.org/W2509848459","https://openalex.org/W2515958221","https://openalex.org/W2548484307","https://openalex.org/W2572421196","https://openalex.org/W2963778543","https://openalex.org/W3094114204","https://openalex.org/W3152310809","https://openalex.org/W4285719527","https://openalex.org/W6625725986","https://openalex.org/W6631008008","https://openalex.org/W6631016718","https://openalex.org/W6641237944","https://openalex.org/W6653197972","https://openalex.org/W6693326483","https://openalex.org/W6703907264","https://openalex.org/W6704175145","https://openalex.org/W6731764761"],"related_works":["https://openalex.org/W112744582","https://openalex.org/W2001480795","https://openalex.org/W2134472250","https://openalex.org/W2001423728","https://openalex.org/W2516929886","https://openalex.org/W2159857630","https://openalex.org/W2044260117","https://openalex.org/W2486556835","https://openalex.org/W2119077463","https://openalex.org/W2074584451"],"abstract_inverted_index":{"Hierarchical":[0],"Temporal":[1],"Memory":[2],"(HTM)":[3],"is":[4,22,114],"an":[5,23],"online":[6],"machine":[7],"learning":[8],"algorithm":[9],"that":[10],"emulates":[11],"the":[12,56,104,107,117],"neo-cortex.":[13],"The":[14,27,59,74,93],"development":[15],"of":[16,31,106],"a":[17,44,81],"scalable":[18],"on-chip":[19],"HTM":[20,32],"architecture":[21],"open":[24],"research":[25],"area.":[26],"two":[28,65],"core":[29],"substructures":[30],"are":[33,76,100],"spatial":[34],"pooler":[35],"and":[36,71,78,86,98],"temporal":[37],"memory.":[38],"In":[39],"this":[40],"work,":[41],"we":[42],"propose":[43],"new":[45],"Spatial":[46],"Pooler":[47],"circuit":[48],"design":[49,61,108],"with":[50],"parallel":[51],"memristive":[52],"crossbar":[53],"arrays":[54],"for":[55,116],"2D":[57],"columns.":[58],"proposed":[60],"was":[62],"validated":[63],"on":[64],"different":[66],"benchmark":[67],"datasets,":[68],"face":[69,110],"recognition,":[70],"speech":[72,118],"recognition.":[73,111,119],"circuits":[75],"simulated":[77],"analyzed":[79],"using":[80],"practical":[82],"memristor":[83],"device":[84],"model":[85],"0.18":[87],"\u03bcm":[88],"IBM":[89],"CMOS":[90],"technology":[91],"model.":[92],"databases":[94],"AR,":[95],"YALE,":[96],"ORL,":[97],"UFI,":[99],"used":[101,115],"to":[102],"test":[103],"performance":[105],"in":[109],"TIMIT":[112],"dataset":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
