{"id":"https://openalex.org/W2212044124","doi":null,"title":"Mammalian retina modeling and on-line learning on CNN architecture from wetware to silicon","display_name":"Mammalian retina modeling and on-line learning on CNN architecture from wetware to silicon","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2212044124","mag":"2212044124"},"language":"en","primary_location":{"id":"mag:2212044124","doi":null,"is_oa":false,"landing_page_url":"https://repozitorium.omikk.bme.hu/bitstream/10890/257/1/ertekezes.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"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":"https://openalex.org/A5059516633","display_name":"D. B\u00e1lya","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"D. B\u00e1lya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5059516633"],"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.6567000150680542,"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":0.6567000150680542,"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/T10320","display_name":"Neural Networks and Applications","score":0.14069999754428864,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.0917000025510788,"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/cellular-neural-networks","display_name":"cellular neural networks","score":0.8809999823570251},{"id":"https://openalex.org/keywords/cnn-universal-machine","display_name":"CNN Universal Machine","score":0.9309999942779541},{"id":"https://openalex.org/keywords/analog-vlsi","display_name":"analog VLSI","score":0.8510000109672546},{"id":"https://openalex.org/keywords/receptive-field-models","display_name":"receptive field models","score":0.6050000190734863},{"id":"https://openalex.org/keywords/analog-neural-networks","display_name":"analog neural networks","score":0.3880000114440918},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.6629999876022339},{"id":"https://openalex.org/keywords/object-recognition","display_name":"object recognition","score":0.800000011920929},{"id":"https://openalex.org/keywords/clustering-and-classification","display_name":"clustering and classification","score":0.7200000286102295}],"concepts":[{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.7429309487342834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317053079605103},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.544601321220398},{"id":"https://openalex.org/C131671149","wikidata":"https://www.wikidata.org/wiki/Q2703890","display_name":"Universal Turing machine","level":4,"score":0.532784104347229},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.520816445350647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5057294368743896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4393164813518524},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42280369997024536},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.33884498476982117},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.27727627754211426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1949481964111328},{"id":"https://openalex.org/C29248071","wikidata":"https://www.wikidata.org/wiki/Q163310","display_name":"Turing machine","level":3,"score":0.0},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2212044124","doi":null,"is_oa":false,"landing_page_url":"https://repozitorium.omikk.bme.hu/bitstream/10890/257/1/ertekezes.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":120,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W135215214","https://openalex.org/W1037205816","https://openalex.org/W1487210357","https://openalex.org/W1496229142","https://openalex.org/W1496662715","https://openalex.org/W1509576544","https://openalex.org/W1517315774","https://openalex.org/W1529539941","https://openalex.org/W1549915757","https://openalex.org/W1562421058","https://openalex.org/W1570810870","https://openalex.org/W1570877807","https://openalex.org/W1576784345","https://openalex.org/W1588868310","https://openalex.org/W1598480035","https://openalex.org/W1608593698","https://openalex.org/W1617593884","https://openalex.org/W1853085112","https://openalex.org/W1886252877","https://openalex.org/W1897692605","https://openalex.org/W1904804607","https://openalex.org/W1907163238","https://openalex.org/W1908014805","https://openalex.org/W1928246000","https://openalex.org/W1937617961","https://openalex.org/W1952970930","https://openalex.org/W1962726967","https://openalex.org/W1969360650","https://openalex.org/W1975879068","https://openalex.org/W1976520179","https://openalex.org/W1978412564","https://openalex.org/W1978642943","https://openalex.org/W1979482335","https://openalex.org/W1985845729","https://openalex.org/W1986046090","https://openalex.org/W1990642738","https://openalex.org/W1990779469","https://openalex.org/W1991848143","https://openalex.org/W1992784066","https://openalex.org/W1996773027","https://openalex.org/W1999453928","https://openalex.org/W2003454866","https://openalex.org/W2007120634","https://openalex.org/W2012503784","https://openalex.org/W2012611887","https://openalex.org/W2013089574","https://openalex.org/W2019723923","https://openalex.org/W2027186012","https://openalex.org/W2028497530","https://openalex.org/W2035169535","https://openalex.org/W2036047243","https://openalex.org/W2040870580","https://openalex.org/W2042925217","https://openalex.org/W2045152679","https://openalex.org/W2046444944","https://openalex.org/W2050437860","https://openalex.org/W2056717940","https://openalex.org/W2069643880","https://openalex.org/W2070129634","https://openalex.org/W2076029968","https://openalex.org/W2077752722","https://openalex.org/W2079754005","https://openalex.org/W2083013005","https://openalex.org/W2083988726","https://openalex.org/W2084812512","https://openalex.org/W2085927826","https://openalex.org/W2086068652","https://openalex.org/W2086623798","https://openalex.org/W2088735531","https://openalex.org/W2088812395","https://openalex.org/W2088931889","https://openalex.org/W2098275223","https://openalex.org/W2098703979","https://openalex.org/W2107025852","https://openalex.org/W2110653752","https://openalex.org/W2110975683","https://openalex.org/W2113222859","https://openalex.org/W2120283686","https://openalex.org/W2123045884","https://openalex.org/W2124776405","https://openalex.org/W2124993691","https://openalex.org/W2125858248","https://openalex.org/W2128084896","https://openalex.org/W2130227563","https://openalex.org/W2130416988","https://openalex.org/W2132733300","https://openalex.org/W2133103935","https://openalex.org/W2133167466","https://openalex.org/W2141169887","https://openalex.org/W2142177794","https://openalex.org/W2144219012","https://openalex.org/W2145356729","https://openalex.org/W2146203184","https://openalex.org/W2146456025","https://openalex.org/W2149177607","https://openalex.org/W2149389068","https://openalex.org/W2150986831","https://openalex.org/W2151042772","https://openalex.org/W2151162785","https://openalex.org/W2152072489","https://openalex.org/W2152477898","https://openalex.org/W2153164199","https://openalex.org/W2154016518","https://openalex.org/W2159179085","https://openalex.org/W2160121923","https://openalex.org/W2163633330","https://openalex.org/W2164742238","https://openalex.org/W2164965552","https://openalex.org/W2165974564","https://openalex.org/W2166280719","https://openalex.org/W2170850909","https://openalex.org/W2171704516","https://openalex.org/W2412583038","https://openalex.org/W2467657498","https://openalex.org/W2912565176","https://openalex.org/W2917932769","https://openalex.org/W2942181684","https://openalex.org/W2947524254","https://openalex.org/W3003662786"],"related_works":["https://openalex.org/W1978642943","https://openalex.org/W1886252877","https://openalex.org/W2098275223","https://openalex.org/W2050437860","https://openalex.org/W2104197775","https://openalex.org/W7095255167","https://openalex.org/W1786959345","https://openalex.org/W2151768952","https://openalex.org/W2165974564","https://openalex.org/W2007120634"],"abstract_inverted_index":{"Cellular":[0],"nonlinear":[1,149],"networks":[2,108],"(CNN)":[3],"belong":[4],"to":[5,109,128,130,137,161,169,259,324,347],"the":[6,20,40,44,49,64,73,81,86,102,110,119,131,141,145,193,198,204,225,238,242,250,257,263,310,312,328,331,338],"class":[7],"of":[8,14,39,104,118,124,133,144,220,230,256,265,314,330,350],"twodimensional":[9],"processor":[10],"arrays":[11,17],"or":[12,27],"stacks":[13],"several":[15],"two-dimensional":[16],"in":[18,31,154,176],"which":[19],"cells":[21],"are":[22],"identical":[23],"nonlinear,":[24],"dynamic":[25],"systems":[26],"processors,":[28],"interconnected":[29],"only":[30],"a":[32,274,304],"small":[33],"local":[34],"neighborhood.":[35],"The":[36,122],"architectural":[37],"expansion":[38],"CNN":[41,45,65],"paradigm":[42,66],"is":[43,165,317],"Universal":[46],"Machine":[47],"(CNNUM),":[48],"first":[50],"algorithmically":[51],"programmable":[52,276],"analogic":[53,147,277],"(both":[54],"analog":[55,173,281,341],"and":[56,99,115,136,167,186,190,213,240,253,261,285,337],"logic)":[57],"computer.":[58],"This":[59,179],"dissertation":[60],"(i)":[61],"demonstrates":[62],"that":[63,163,215,327],"can":[67,270,293],"be":[68,271,294],"used":[69,295],"effectively":[70],"for":[71,113,140,208,288,296],"modeling":[72,135,209],"mammalian":[74,155],"retina":[75,91,156,335],"from":[76],"neurobiological":[77,177,222],"measurement":[78],"data":[79],"until":[80],"hardware-level":[82],"implementation;":[83],"(ii)":[84],"models":[85,223],"rapid":[87],"global":[88,95],"change":[89,97],"suppression":[90],"function":[92],"on":[93,203,237,241,334],"sudden":[94],"spatial-temporal":[96],"detection;":[98],"(iii)":[100],"investigates":[101],"possibility":[103],"mapping":[105],"artificial":[106],"neural":[107],"CNN-UM":[111,172,258,269,339],"platform":[112],"clustering":[114],"classification.":[116],"Background":[117],"Doctoral":[120],"Work":[121],"task":[123],"my":[125],"work":[126,180,195],"was":[127],"contribute":[129],"research":[132],"retinal":[134],"find":[138],"solutions":[139,248],"hardware":[142],"implementation":[143],"multi-layer":[146],"cellular":[148,244,278],"network":[150],"universal":[151],"machine":[152],"(CNNUM)":[153],"modeling.":[157,178],"I":[158,196,322],"also":[159],"had":[160],"prove":[162],"it":[164],"worthwhile":[166],"feasible":[168],"deal":[170],"with":[171,343],"VLSI":[174],"chips":[175,342],"included":[181],"theoretical":[182],"studies,":[183],"computer":[184,279],"simulation":[185],"experimental":[187],"chip":[188],"evaluation":[189],"validation.":[191],"During":[192],"preparatory":[194],"derived":[197],"abstract":[199],"neuron":[200],"model":[201],"based":[202,333],"receptive":[205],"field":[206],"calculus":[207],"different":[210,266],"sensory":[211],"modalities":[212],"algorithms":[214],"might":[216],"open":[217],"new":[218],"ways":[219],"integrating":[221],"into":[224],"common":[226],"engineering":[227],"practice.":[228],"Some":[229],"them":[231],"have":[232,303],"already":[233],"been":[234],"verified":[235],"experimentally":[236],"ACE4k":[239],"CACE1k":[243],"visual":[245],"microprocessors.":[246],"These":[247],"exploit":[249],"implicit":[251],"parallelism":[252],"near-sensor":[254],"properties":[255],"enhance":[260],"speed-up":[262],"computation":[264],"algorithms.":[267],"A":[268],"applied":[272],"as":[273,309],"stored":[275],"using":[280],"transient":[282],"wave-type":[283],"computing":[284],"logic":[286],"operators":[287],"feature":[289,306,315],"extraction.":[290],"Feature":[291],"vectors":[292,316],"object":[297],"recognition":[298],"after":[299],"post-processing.":[300],"If":[301],"we":[302],"fast":[305],"detector":[307],"such":[308],"CNN-UM,":[311],"classification":[313],"an":[318],"especially":[319],"important":[320],"task.":[321],"wish":[323],"point":[325],"out":[326],"synergy":[329],"neurobiology,":[332],"modeling,":[336],"technology,":[340],"optical":[344],"input,":[345],"leads":[346],"powerful":[348],"sensor-processors":[349],"future":[351],"applications.":[352]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
