{"id":"https://openalex.org/W4403332821","doi":"https://doi.org/10.1145/3686490.3686521","title":"A Novel Artificial Visual System with Fully Modeled Retinal Direction-selectivity Ganglion Cell Pathway for Motion Direction Detection in Grayscale Images","display_name":"A Novel Artificial Visual System with Fully Modeled Retinal Direction-selectivity Ganglion Cell Pathway for Motion Direction Detection in Grayscale Images","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4403332821","doi":"https://doi.org/10.1145/3686490.3686521"},"language":"en","primary_location":{"id":"doi:10.1145/3686490.3686521","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686490.3686521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5114244876","display_name":"Yumekatsu Shoji","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yumekatsu Shoji","raw_affiliation_strings":["Tianjin Longyun International Trade Co. Ltd, Japan"],"raw_orcid":"https://orcid.org/0009-0009-5427-7295","affiliations":[{"raw_affiliation_string":"Tianjin Longyun International Trade Co. Ltd, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073889784","display_name":"Sichen Tao","orcid":"https://orcid.org/0000-0001-9858-4208"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sichen Tao","raw_affiliation_strings":["Faculty of Engineering, University of Toyama, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9858-4208","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042276100","display_name":"Yuki Todo","orcid":"https://orcid.org/0000-0001-7379-1374"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Todo","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Kanazawa University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7379-1374","affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Kanazawa University, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704278","display_name":"Zheng Tang","orcid":"https://orcid.org/0000-0002-6543-7444"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zheng Tang","raw_affiliation_strings":["Faculty of Engineering, University of Toyama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6543-7444","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006249302","display_name":"Ruihan Zhao","orcid":"https://orcid.org/0009-0009-8208-0377"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihan Zhao","raw_affiliation_strings":["School of Mechanical Engineering, Tongji University, China and School of Engineering and Design, Technical University Munich, Germany"],"raw_orcid":"https://orcid.org/0009-0009-8208-0377","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Tongji University, China and School of Engineering and Design, Technical University Munich, Germany","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114244876"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15094892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9969000220298767,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9969000220298767,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/grayscale","display_name":"Grayscale","score":0.7595273852348328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6948015689849854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6742792129516602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6470112204551697},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43824678659439087},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.15292015671730042}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7595273852348328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6948015689849854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6742792129516602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470112204551697},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43824678659439087},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.15292015671730042}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3686490.3686521","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686490.3686521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1965806563","https://openalex.org/W2017115408","https://openalex.org/W2026755389","https://openalex.org/W2034443282","https://openalex.org/W2037084455","https://openalex.org/W2064094924","https://openalex.org/W2112796928","https://openalex.org/W2153150479","https://openalex.org/W2161360348","https://openalex.org/W2794733696","https://openalex.org/W2923467929","https://openalex.org/W3007222640","https://openalex.org/W3039515597","https://openalex.org/W3047583750","https://openalex.org/W3146366485","https://openalex.org/W4292253326","https://openalex.org/W4386303945"],"related_works":["https://openalex.org/W2649341231","https://openalex.org/W4380449972","https://openalex.org/W2058170566","https://openalex.org/W2032060170","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Although":[0],"the":[1,5,24,28,32,36,56,60,64,67,74,104,115],"primary":[2],"neurons":[3,30],"in":[4,17,35,83,97,114],"mammalian":[6],"brain":[7],"that":[8,108],"detecting":[9,80],"motion":[10,37,81,116],"directions":[11,82],"have":[12],"been":[13],"focused":[14],"for":[15,19],"researching":[16],"neuroscience":[18],"more":[20],"than":[21,112],"100":[22],"years,":[23],"detailed":[25],"functions":[26,58],"of":[27],"component":[29],"and":[31,95,101,103],"network":[33],"mechanism":[34],"direction-selective":[38],"pathways":[39,62],"are":[40,110],"not":[41],"clearly":[42],"elucidated":[43],"yet.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"utilize":[49],"established":[50],"neuroscientific":[51],"conclusions":[52],"to":[53,66,69,79],"comprehensively":[54],"model":[55],"cell":[57],"along":[59],"relevant":[61],"from":[63],"retina":[65],"cortex":[68],"propose":[70],"an":[71],"algorithm,":[72],"called":[73],"artificial":[75],"visual":[76],"system":[77],"(AVS),":[78],"grayscale":[84],"images.":[85],"We":[86],"compare":[87],"AVS":[88,109],"with":[89],"2":[90],"convolutional":[91],"neural":[92],"networks,":[93],"LeNet-5":[94],"EfficientNetB0,":[96],"verifying":[98],"its":[99],"efficiency":[100],"generalizability":[102],"experimental":[105],"results":[106],"show":[107],"better":[111],"them":[113],"direction":[117],"detection":[118],"task.":[119]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}