{"id":"https://openalex.org/W2181578243","doi":null,"title":"Learning invariant features in neocortex-inspired hierarchical networks","display_name":"Learning invariant features in neocortex-inspired hierarchical networks","publication_year":null,"publication_date":null,"ids":{"openalex":"https://openalex.org/W2181578243","mag":"2181578243"},"language":"pl","primary_location":{"id":"pmh:oai:ruj.uj.edu.pl:item/168071","doi":null,"is_oa":false,"landing_page_url":"https://ruj.uj.edu.pl/xmlui/handle/item/168071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400316","display_name":"Homo Politicus (Academy of Humanities and Economics in Lodz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"master"},"volume":null,"type":"dissertation","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":null,"display_name":"Andryszek, Piotr","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andryszek, Piotr","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10320","display_name":"Neural Networks and Applications","score":0.9330999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9330999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.022700000554323196,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0071000000461936,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/invariant-feature-learning","display_name":"invariant feature learning","score":0.8360000252723694},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"deep belief network","score":0.8199999928474426},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"restricted Boltzmann machine","score":0.9580000042915344},{"id":"https://openalex.org/keywords/contrastive-divergence","display_name":"contrastive divergence","score":0.9340000152587891},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8550000190734863},{"id":"https://openalex.org/keywords/translation-invariance","display_name":"translation invariance","score":0.9120000004768372},{"id":"https://openalex.org/keywords/probabilistic-inference","display_name":"probabilistic inference","score":0.8669999837875366},{"id":"https://openalex.org/keywords/time-varying-signals","display_name":"time-varying signals","score":0.6930000185966492},{"id":"https://openalex.org/keywords/representation-learning","display_name":"representation learning","score":0.46000000834465027},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.6539999842643738}],"concepts":[{"id":"https://openalex.org/C2777222312","wikidata":"https://www.wikidata.org/wiki/Q726562","display_name":"Neocortex","level":2,"score":0.7001517415046692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5372936725616455},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.472063809633255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45752039551734924},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.33748239278793335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30111855268478394},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.28474652767181396},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2552490234375},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ruj.uj.edu.pl:item/168071","doi":null,"is_oa":false,"landing_page_url":"https://ruj.uj.edu.pl/xmlui/handle/item/168071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400316","display_name":"Homo Politicus (Academy of Humanities and Economics in Lodz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"master"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W142185896","https://openalex.org/W189596042","https://openalex.org/W193851967","https://openalex.org/W1497935377","https://openalex.org/W1526492552","https://openalex.org/W1543614656","https://openalex.org/W1608087182","https://openalex.org/W1617511168","https://openalex.org/W1663973292","https://openalex.org/W1708007876","https://openalex.org/W1802356529","https://openalex.org/W1813659000","https://openalex.org/W1980138209","https://openalex.org/W1991012308","https://openalex.org/W2007163867","https://openalex.org/W2010124835","https://openalex.org/W2020999234","https://openalex.org/W2035353864","https://openalex.org/W2072128103","https://openalex.org/W2078279227","https://openalex.org/W2079182758","https://openalex.org/W2095844239","https://openalex.org/W2096388912","https://openalex.org/W2097099483","https://openalex.org/W2098580305","https://openalex.org/W2101872822","https://openalex.org/W2103934527","https://openalex.org/W2116064496","https://openalex.org/W2116360511","https://openalex.org/W2116825644","https://openalex.org/W2118885368","https://openalex.org/W2122565151","https://openalex.org/W2124914669","https://openalex.org/W2125663122","https://openalex.org/W2128084896","https://openalex.org/W2130313186","https://openalex.org/W2130325614","https://openalex.org/W2132172482","https://openalex.org/W2133257461","https://openalex.org/W2136922672","https://openalex.org/W2139427956","https://openalex.org/W2140591465","https://openalex.org/W2143891888","https://openalex.org/W2146444479","https://openalex.org/W2148553367","https://openalex.org/W2157629899","https://openalex.org/W2158778629","https://openalex.org/W2161914416","https://openalex.org/W2176028050","https://openalex.org/W2291914493","https://openalex.org/W2613634265","https://openalex.org/W3133236490","https://openalex.org/W3140968660","https://openalex.org/W4211165038"],"related_works":["https://openalex.org/W3210332560","https://openalex.org/W7133211638","https://openalex.org/W7196999530","https://openalex.org/W7134601617","https://openalex.org/W1481642960","https://openalex.org/W2336357707","https://openalex.org/W2915548083","https://openalex.org/W6903387077","https://openalex.org/W7036397049","https://openalex.org/W969631585"],"abstract_inverted_index":{"Badania":[0],"neurobiologiczne":[1,142],"sugeruj\u0105,":[2],"\u017ce":[3],"nowa":[4],"kora":[5],"m\u00f3zgowa":[6],"u\u017cywa":[7],"podobnych":[8],"mechanizm\u00f3w":[9],"przy":[10],"rozwi\u0105zywaniu":[11],"bardzo":[12],"r\u00f3\u017cnych":[13],"zada\u0144.":[14],"Tymczasem":[15],"popularne":[16],"metody":[17],"AI":[18],"cz\u0119sto":[19],"odnosz\u0105":[20],"si\u0119":[21,119,148,169],"do":[22,155],"w\u0105skich":[23],"zagadnie\u0144":[24],"i":[25,115,134,151],"wykorzystuj\u0105":[26],"techniki":[27],"specyficzne":[28],"dla":[29,57],"danego":[30],"problemu.":[31],"Wiele":[32],"z":[33,68,97,109,145,157,166],"tych":[34],"problem\u00f3w":[35],"mo\u017cna":[36],"traktowa\u0107":[37],"jako":[38],"r\u00f3\u017cne":[39],"aspekty":[40],"tego":[41],"samego":[42],"zagadnienia:":[43],"odszukanie":[44],"podstawowej":[45],"struktury":[46],"\u015brodowiska.":[47],"W":[48,61,71,138],"ostatnich":[49],"latach":[50],"poczyniono":[51],"znaczne":[52],"post\u0119py":[53],"w":[54,149],"uczeniu":[55],"nienadzorowanym":[56],"g\u0142\u0119bokich":[58],"sieci":[59,95,108],"przekona\u0144.":[60],"tej":[62],"pracy":[63,139],"wyprowadzono":[64],"najwa\u017cniejsze":[65],"rezultaty":[66],"zwi\u0105zane":[67,144],"g\u0142\u0119bokimi":[69],"architekturami.":[70],"szczeg\u00f3lno\u015bci,":[72],"om\u00f3wione":[73],"zosta\u0142y":[74],"ograniczone":[75],"maszyny":[76],"Boltzmanna,":[77],"algorytm":[78],"kontrastuj\u0105cej":[79],"dywergencji":[80],"oraz":[81,131],"zach\u0142anna":[82],"metoda":[83],"uczenia":[84,156],"warstwa":[85],"po":[86],"warstwie":[87],"[Hinton":[88],"et":[89,101],"al.,":[90,102],"2006].":[91],"Ponadto":[92],"zaprezentowano":[93],"g\u0142\u0119bokie":[94],"przekona\u0144":[96],"operacj\u0105":[98],"splotu":[99],"[Lee":[100],"2009].":[103],"S\u0105":[104],"to":[105],"skalowalne,":[106],"wielowarstwowe":[107],"\u0142\u0105cznym":[110],"rozk\u0142adem":[111],"prawdopodobie\u0144stwa":[112],"zmiennych":[113],"ukrytych":[114],"obserwowanych,":[116],"kt\u00f3re":[117],"ucz\u0105":[118],"cech":[120,165],"o":[121],"rosn\u0105cym":[122],"stopniu":[123],"z\u0142o\u017cono\u015bci,":[124],"osi\u0105gaj\u0105":[125],"niezmienniczo\u015b\u0107":[126],"ze":[127],"wzgl\u0119du":[128],"na":[129,162],"translacj\u0119":[130],"wspieraj\u0105":[132],"wst\u0119puj\u0105ce":[133],"zst\u0119puj\u0105ce":[135],"wnioskowanie":[136],"probabilistyczne.":[137],"om\u00f3wiono":[140],"tak\u017ce":[141],"badania":[143],"sygna\u0142ami":[146],"zmieniaj\u0105cymi":[147],"czasie":[150],"przedstawiono":[152],"interesuj\u0105ce":[153],"podej\u015bcie":[154],"ekstrakcj\u0105":[158],"reprezentacji":[159],"niezmienniczych,":[160],"bazuj\u0105ce":[161],"wydobyciu":[163],"stabilnych":[164],"gwa\u0142townie":[167],"zmieniaj\u0105cych":[168],"danych":[170],"sensorycznych.":[171]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-10-10T00:00:00"}
