{"id":"https://openalex.org/W4388942820","doi":"https://doi.org/10.3390/s23239351","title":"Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network","display_name":"Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4388942820","doi":"https://doi.org/10.3390/s23239351","pmid":"https://pubmed.ncbi.nlm.nih.gov/38067727"},"language":"en","primary_location":{"id":"doi:10.3390/s23239351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239351","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9351/pdf?version=1700733027","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/23/9351/pdf?version=1700733027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059888276","display_name":"Nastaran Khaleghi","orcid":null},"institutions":[{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nastaran Khaleghi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Tabriz, Tabriz 51666-16471, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Tabriz, Tabriz 51666-16471, Iran","institution_ids":["https://openalex.org/I41832843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010917383","display_name":"Shaghayegh Hashemi","orcid":null},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Shaghayegh Hashemi","raw_affiliation_strings":["Department of Computer Science and Engineering, Shahid Beheshti University, Tehran 19839-69411, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shahid Beheshti University, Tehran 19839-69411, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111154683","display_name":"Sevda Zafarmandi Ardabili","orcid":null},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sevda Zafarmandi Ardabili","raw_affiliation_strings":["Electrical and Computer Engineering Department, Southern Methodist University, Dallas, TX 75205, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Southern Methodist University, Dallas, TX 75205, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054320766","display_name":"Sobhan Sheykhivand","orcid":"https://orcid.org/0000-0002-2275-8133"},"institutions":[{"id":"https://openalex.org/I1300409581","display_name":"University of Bonab","ror":"https://ror.org/01app8660","country_code":"IR","type":"education","lineage":["https://openalex.org/I1300409581"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sobhan Sheykhivand","raw_affiliation_strings":["Department of Biomedical Engineering, University of Bonab, Bonab 55517-61167, Iran"],"raw_orcid":"https://orcid.org/0000-0002-2275-8133","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Bonab, Bonab 55517-61167, Iran","institution_ids":["https://openalex.org/I1300409581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063416360","display_name":"Sebelan Danishvar","orcid":"https://orcid.org/0000-0002-8258-0437"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sebelan Danishvar","raw_affiliation_strings":["College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge UB8 3PH, UK"],"raw_orcid":"https://orcid.org/0000-0002-8258-0437","affiliations":[{"raw_affiliation_string":"College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge UB8 3PH, UK","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063416360"],"corresponding_institution_ids":["https://openalex.org/I59433898"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.4355,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89293536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"23","issue":"23","first_page":"9351","last_page":"9351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9968000054359436,"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/mnist-database","display_name":"MNIST database","score":0.876274824142456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.718246579170227},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7145455479621887},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6636964082717896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661735475063324},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.609553873538971},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5325568914413452},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.48771342635154724},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4829680025577545},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.42202118039131165},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4206860661506653},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38773608207702637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1692923605442047},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10772615671157837},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09991246461868286}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.876274824142456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.718246579170227},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7145455479621887},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6636964082717896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661735475063324},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.609553873538971},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5325568914413452},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.48771342635154724},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4829680025577545},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.42202118039131165},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4206860661506653},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38773608207702637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1692923605442047},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10772615671157837},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09991246461868286},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s23239351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239351","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9351/pdf?version=1700733027","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38067727","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38067727","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:bura.brunel.ac.uk:2438/27997","is_oa":true,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/27997","pdf_url":"http://bura.brunel.ac.uk/bitstream/2438/27997/1/FullText.pdf","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10708586","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10708586","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10708586/pdf/sensors-23-09351.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:04e99da7276b4b6e9f1563f31c3239ff","is_oa":true,"landing_page_url":"https://doaj.org/article/04e99da7276b4b6e9f1563f31c3239ff","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 23, p 9351 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/23/9351/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23239351","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23239351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239351","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9351/pdf?version=1700733027","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388942820.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W22889343","https://openalex.org/W1969166506","https://openalex.org/W1981643398","https://openalex.org/W2007226897","https://openalex.org/W2007571554","https://openalex.org/W2011900468","https://openalex.org/W2012129537","https://openalex.org/W2032256331","https://openalex.org/W2040978437","https://openalex.org/W2041716195","https://openalex.org/W2074394981","https://openalex.org/W2078132377","https://openalex.org/W2101821987","https://openalex.org/W2103212315","https://openalex.org/W2107361760","https://openalex.org/W2112796928","https://openalex.org/W2128272608","https://openalex.org/W2130095305","https://openalex.org/W2138046011","https://openalex.org/W2212216676","https://openalex.org/W2288514685","https://openalex.org/W2315287060","https://openalex.org/W2541335858","https://openalex.org/W2590420622","https://openalex.org/W2596954664","https://openalex.org/W2732617206","https://openalex.org/W2794345050","https://openalex.org/W2802311760","https://openalex.org/W2885385710","https://openalex.org/W2963503775","https://openalex.org/W2963855931","https://openalex.org/W2994811811","https://openalex.org/W2995255435","https://openalex.org/W3028543194","https://openalex.org/W3124061632","https://openalex.org/W3138666572","https://openalex.org/W3188044188","https://openalex.org/W3211800238","https://openalex.org/W3217644112","https://openalex.org/W4306856408","https://openalex.org/W4308513655","https://openalex.org/W4312476402","https://openalex.org/W4323318609","https://openalex.org/W4378611693","https://openalex.org/W4381942695","https://openalex.org/W6639175563","https://openalex.org/W6639359414","https://openalex.org/W6945105524"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W2590796488","https://openalex.org/W4389249638","https://openalex.org/W2734358244","https://openalex.org/W3015200942","https://openalex.org/W2750384547"],"abstract_inverted_index":{"Interpretation":[0],"of":[1,33,46,76,83,88,107,116,133,153,159,171,181,195],"neural":[2,60],"activity":[3],"in":[4,127],"response":[5],"to":[6,15,25,29,68,73,93,103,123,151,186],"stimulations":[7],"received":[8],"from":[9],"the":[10,21,31,44,70,77,84,95,117,128,134,141,164,172,192,204],"surrounding":[11],"environment":[12],"is":[13,66,120,138,161,175,198],"necessary":[14],"realize":[16],"automatic":[17],"brain":[18,22,39,51,96],"decoding.":[19],"Analyzing":[20],"recordings":[23],"corresponding":[24,150],"visual":[26],"stimulation":[27],"helps":[28],"infer":[30],"effects":[32],"perception":[34],"occurring":[35],"by":[36,147,200],"vision":[37],"on":[38,49,178],"activity.":[40],"In":[41],"this":[42],"paper,":[43],"impact":[45],"arithmetic":[47],"concepts":[48],"vision-related":[50],"records":[52],"has":[53],"been":[54],"considered":[55],"and":[56,109,183,188,202],"an":[57],"efficient":[58],"convolutional":[59],"network-based":[61],"generative":[62],"adversarial":[63],"network":[64,86],"(CNN-GAN)":[65],"proposed":[67,85,129,135,173],"map":[69],"electroencephalogram":[71],"(EEG)":[72],"salient":[74],"parts":[75],"image":[78,112],"stimuli.":[79],"The":[80,114,131,169],"first":[81],"part":[82,119,137,166],"consists":[87],"depth-wise":[89],"one-dimensional":[90],"convolution":[91],"layers":[92],"classify":[94],"signals":[97],"into":[98],"10":[99,154],"different":[100],"categories":[101],"according":[102],"Modified":[104],"National":[105],"Institute":[106],"Standards":[108],"Technology":[110],"(MNIST)":[111],"digits.":[113,155],"output":[115],"CNN":[118,136,165],"fed":[121],"forward":[122],"a":[124],"fine-tuned":[125],"GAN":[126],"model.":[130],"performance":[132,170],"evaluated":[139,176],"via":[140],"visually":[142],"provoked":[143],"14-channel":[144],"MindBigData":[145],"recorded":[146],"David":[148],"Vivancos,":[149],"images":[152],"An":[156],"average":[157],"accuracy":[158],"95.4%":[160],"obtained":[162],"for":[163,167],"classification.":[168],"CNN-GAN":[174],"based":[177],"saliency":[179],"metrics":[180],"SSIM":[182],"CC":[184],"equal":[185],"92.9%":[187],"97.28%,":[189],"respectively.":[190],"Furthermore,":[191],"EEG-based":[193],"reconstruction":[194],"MNIST":[196],"digits":[197],"accomplished":[199],"transferring":[201],"tuning":[203],"improved":[205],"CNN-GAN's":[206],"trained":[207],"weights.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}