{"id":"https://openalex.org/W151936952","doi":null,"title":"How a Part of the Brain Might or Might Not Work: A New Hierarchical Model of Object Recognition","display_name":"How a Part of the Brain Might or Might Not Work: A New Hierarchical Model of Object Recognition","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W151936952","mag":"151936952"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.7.5616","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.5616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ai.mit.edu/projects/cbcl/publications/theses/thesis-riesenhuber.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5075074221","display_name":"Maximilian Riesenhuber","orcid":"https://orcid.org/0000-0002-5744-0408","observed_orcids":["https://orcid.org/0000-0002-5744-0408"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Max Riesenhuber","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5075074221"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1676,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45220339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.8363999724388123,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.8363999724388123,"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/T11094","display_name":"Face Recognition and Perception","score":0.10930000245571136,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.024399999529123306,"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/hmax","display_name":"HMAX","score":0.6729999780654907},{"id":"https://openalex.org/keywords/hierarchical-models","display_name":"hierarchical models","score":0.6039999723434448},{"id":"https://openalex.org/keywords/object-recognition","display_name":"object recognition","score":0.9900000095367432},{"id":"https://openalex.org/keywords/inferotemporal-cortex","display_name":"inferotemporal cortex","score":0.8820000290870667},{"id":"https://openalex.org/keywords/viewpoint-invariance","display_name":"viewpoint invariance","score":0.8429999947547913},{"id":"https://openalex.org/keywords/sparse-distributed-representations","display_name":"sparse distributed representations","score":0.597000002861023},{"id":"https://openalex.org/keywords/object-classification","display_name":"object classification","score":0.8100000023841858},{"id":"https://openalex.org/keywords/categorical-perception","display_name":"categorical perception","score":0.9049999713897705},{"id":"https://openalex.org/keywords/clutter-robustness","display_name":"clutter robustness","score":0.6240000128746033},{"id":"https://openalex.org/keywords/face-recognition-cognition","display_name":"face recognition (cognition)","score":0.6460000276565552},{"id":"https://openalex.org/keywords/3d-morphing","display_name":"3D morphing","score":0.7419999837875366}],"concepts":[{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6938182711601257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6858232617378235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6250761151313782},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5716313719749451},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5491200089454651},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5405697822570801},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5231922268867493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4918334484100342},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.44460293650627136},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.4305095076560974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4135439991950989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37552374601364136},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22734785079956055},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1286584734916687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0987890362739563},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.7.5616","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.5616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ai.mit.edu/projects/cbcl/publications/theses/thesis-riesenhuber.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":111,"referenced_works":["https://openalex.org/W11340653","https://openalex.org/W613766092","https://openalex.org/W772144768","https://openalex.org/W1497599070","https://openalex.org/W1499979881","https://openalex.org/W1504499192","https://openalex.org/W1526844937","https://openalex.org/W1533198222","https://openalex.org/W1539054229","https://openalex.org/W1541305174","https://openalex.org/W1548502347","https://openalex.org/W1561787376","https://openalex.org/W1562664311","https://openalex.org/W1565932041","https://openalex.org/W1566555074","https://openalex.org/W1573388175","https://openalex.org/W1579462696","https://openalex.org/W1586420997","https://openalex.org/W1591395504","https://openalex.org/W1594551768","https://openalex.org/W1603675568","https://openalex.org/W1642330470","https://openalex.org/W1663300650","https://openalex.org/W1763512962","https://openalex.org/W1832771320","https://openalex.org/W1901661521","https://openalex.org/W1967087917","https://openalex.org/W1968001820","https://openalex.org/W1968779062","https://openalex.org/W1977881810","https://openalex.org/W1978779796","https://openalex.org/W1980668616","https://openalex.org/W1989684928","https://openalex.org/W1990963631","https://openalex.org/W1991233288","https://openalex.org/W1992760321","https://openalex.org/W1995905185","https://openalex.org/W1995956663","https://openalex.org/W1996773027","https://openalex.org/W1998194521","https://openalex.org/W2004737002","https://openalex.org/W2006208182","https://openalex.org/W2007251230","https://openalex.org/W2011647584","https://openalex.org/W2012053007","https://openalex.org/W2012074763","https://openalex.org/W2013897917","https://openalex.org/W2022995207","https://openalex.org/W2032262583","https://openalex.org/W2033118251","https://openalex.org/W2035591762","https://openalex.org/W2046050405","https://openalex.org/W2051275520","https://openalex.org/W2052906255","https://openalex.org/W2053144375","https://openalex.org/W2070320140","https://openalex.org/W2073367016","https://openalex.org/W2076166015","https://openalex.org/W2077726363","https://openalex.org/W2083759949","https://openalex.org/W2086479969","https://openalex.org/W2087629825","https://openalex.org/W2088112754","https://openalex.org/W2091845343","https://openalex.org/W2092604296","https://openalex.org/W2093016652","https://openalex.org/W2095549987","https://openalex.org/W2095580272","https://openalex.org/W2096388912","https://openalex.org/W2097099483","https://openalex.org/W2098580305","https://openalex.org/W2099952937","https://openalex.org/W2100874064","https://openalex.org/W2112263218","https://openalex.org/W2115441154","https://openalex.org/W2115990514","https://openalex.org/W2116360511","https://openalex.org/W2119885245","https://openalex.org/W2124486835","https://openalex.org/W2125680649","https://openalex.org/W2127329379","https://openalex.org/W2129019054","https://openalex.org/W2131611958","https://openalex.org/W2136123750","https://openalex.org/W2137164733","https://openalex.org/W2137595331","https://openalex.org/W2138203285","https://openalex.org/W2139704390","https://openalex.org/W2142756981","https://openalex.org/W2143073827","https://openalex.org/W2144730066","https://openalex.org/W2145889472","https://openalex.org/W2146656425","https://openalex.org/W2148971934","https://openalex.org/W2149095485","https://openalex.org/W2149194912","https://openalex.org/W2151709124","https://openalex.org/W2156406284","https://openalex.org/W2156909104","https://openalex.org/W2157695255","https://openalex.org/W2158623991","https://openalex.org/W2159686933","https://openalex.org/W2161251272","https://openalex.org/W2167531750","https://openalex.org/W2169534307","https://openalex.org/W2170319235","https://openalex.org/W2170478537","https://openalex.org/W2187150254","https://openalex.org/W2217896605","https://openalex.org/W2910119032","https://openalex.org/W4248547900"],"related_works":["https://openalex.org/W2149194912","https://openalex.org/W7097730479","https://openalex.org/W2029356981","https://openalex.org/W7099247546","https://openalex.org/W2023982570","https://openalex.org/W1585376122","https://openalex.org/W7095573431","https://openalex.org/W2142914342","https://openalex.org/W1550944106","https://openalex.org/W2000440123"],"abstract_inverted_index":{"The":[0],"classical":[1],"model":[2,21,111],"of":[3,11,22,27,49,52,109,143,190,205,215,221,230,247,307,319],"visual":[4,58,80],"processing":[5],"in":[6,16,39,64,89,132,146,173,183,240,289,330],"cortex":[7,91],"is":[8,82,104],"a":[9,17,69,105,163,184,196,228,248,264,270,290],"hierarchy":[10],"increasingly":[12],"sophisticated":[13],"representations,":[14],"extending":[15],"natural":[18,147],"way":[19],"the":[20,40,46,118,123,141,202,213,222,235,244,305,316],"simple":[23],"to":[24,44,54,97,102,128,140,178,238,242,293,298,325],"complex":[25,79],"cells":[26],"Hubel":[28],"and":[29,92,100,207,218,297,322,339],"Wiesel.":[30],"Somewhat":[31],"surprisingly,":[32],"little":[33],"quantitative":[34],"modeling":[35,259],"has":[36],"been":[37],"done":[38],"last":[41],"15":[42],"years":[43],"explore":[45],"biological":[47],"feasibility":[48],"this":[50,78],"class":[51,187,251,301],"models":[53],"explain":[55],"higher":[56],"level":[57,181],"processing,":[59],"such":[60,151],"as":[61,152,227],"object":[62,144,149,186,223,250,295],"recognition":[63,145,203],"cluttered":[65],"scenes.":[66],"We":[67,137,168,232,253,303],"describe":[68],"new":[70],"hierarchical":[71],"model,":[72],"HMAX,":[73,241],"that":[74,261,268],"accounts":[75],"well":[76],"for":[77],"task,":[81],"consistent":[83],"with":[84,125,273,315],"several":[85],"recent":[86,133,155,328],"physiological":[87,156],"experiments":[88,157,172],"inferotemporal":[90],"makes":[93],"testable":[94],"predictions.":[95],"Key":[96],"achieve":[98],"invariance":[99],"robustness":[101],"clutter":[103],"MAX-like":[106],"response":[107],"function":[108],"some":[110,327],"neurons":[112],"which":[113,154,174],"selects":[114],"(an":[115],"approximation":[116],"to)":[117],"maximum":[119],"activity":[120],"over":[121],"all":[122],"afferents,":[124],"interesting":[126],"connections":[127],"\u201cscanning\u201d":[129],"operations":[130],"used":[131],"computer":[134],"vision":[135],"algorithms.":[136],"then":[138,233],"turn":[139],"question":[142],"(\u201ccontinuous\u201d)":[148],"classes,":[150],"faces,":[153],"have":[158],"suggested":[159],"are":[160],"represented":[161],"by":[162,258],"sparse":[164],"distributed":[165],"population":[166],"code.":[167],"performed":[169],"two":[170],"psychophysical":[171],"subjects":[175,209],"were":[176],"trained":[177,206],"perform":[179,294],"subordinate":[180],"discrimination":[182],"continuous":[185],"\u2014":[188,193],"images":[189],"computer-rendered":[191],"cars":[192],"created":[194],"using":[195],"3D":[197],"morphing":[198],"system.":[199],"By":[200],"comparing":[201],"performance":[204],"untrained":[208],"we":[210,282],"could":[211],"estimate":[212],"effects":[214],"viewpoint-specific":[216],"training":[217,262],"infer":[219],"properties":[220,246],"class-specific":[224,266],"representation":[225,267,272],"learned":[226],"result":[229],"training.":[231],"compared":[234],"experimental":[236,255],"findings":[237,329],"simulations":[239],"investigate":[243],"computational":[245],"population-based":[249],"representation.":[252],"find":[254],"evidence,":[256],"supported":[257],"results,":[260],"builds":[263],"viewpointand":[265],"supplements":[269],"pre-existing":[271],"lower":[274],"shape":[275],"discriminability":[276],"but":[277],"greater":[278],"viewpoint":[279],"invariance.":[280],"Finally,":[281],"show":[283],"how":[284],"HMAX":[285],"can":[286],"be":[287],"extended":[288],"straightforward":[291],"fashion":[292],"categorization":[296],"support":[299],"arbitrary":[300],"hierarchies.":[302],"demonstrate":[304],"capability":[306],"our":[308],"scheme,":[309],"called":[310],"\u201cCategorical":[311],"Basis":[312],"Functions\u201d":[313],"(CBF),":[314],"example":[317],"domain":[318],"cat/dog":[320],"categorization,":[321],"apply":[323],"it":[324],"study":[326],"categorical":[331],"perception.":[332],"Thesis":[333],"Supervisor:":[334],"Tomaso":[335],"Poggio":[336],"Title:":[337],"Uncas":[338],"Helen":[340],"Whitaker":[341],"Professor":[342]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-10-27T00:00:00"}
