{"id":"https://openalex.org/W4396988532","doi":"https://doi.org/10.1145/3639856.3639862","title":"Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision","display_name":"Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision","publication_year":2023,"publication_date":"2023-10-25","ids":{"openalex":"https://openalex.org/W4396988532","doi":"https://doi.org/10.1145/3639856.3639862"},"language":"en","primary_location":{"id":"doi:10.1145/3639856.3639862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639856.3639862","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639856.3639862","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Conference on AI-ML Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3639856.3639862","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092964454","display_name":"Naveen Kanigiri","orcid":"https://orcid.org/0009-0007-9917-7795"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Naveen Kanigiri","raw_affiliation_strings":["International Institute of Information Technology Bangalore, India"],"raw_orcid":"https://orcid.org/0009-0007-9917-7795","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092964455","display_name":"Manohar Suggula","orcid":"https://orcid.org/0009-0006-7974-0942"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manohar Suggula","raw_affiliation_strings":["International Institute of Information Technology Bangalore, India"],"raw_orcid":"https://orcid.org/0009-0006-7974-0942","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014650028","display_name":"Debanjali Bhattacharya","orcid":"https://orcid.org/0000-0001-5778-4238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debanjali Bhattacharya","raw_affiliation_strings":["International Institute of Information Technology Bangalore, IN"],"raw_orcid":"https://orcid.org/0000-0001-5778-4238","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology Bangalore, IN","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014371833","display_name":"Neelam Sinha","orcid":"https://orcid.org/0000-0001-8164-8412"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neelam Sinha","raw_affiliation_strings":["International Institute of Information Technology, India"],"raw_orcid":"https://orcid.org/0000-0001-8164-8412","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, India","institution_ids":["https://openalex.org/I188963388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0772,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9257507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9659000039100647,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6653623580932617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6644344329833984},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.5469583868980408},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4912700057029724},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49015459418296814},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.46487927436828613},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.43795543909072876},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3880349397659302},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2138327956199646},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.17700880765914917},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.1667713224887848}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6653623580932617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6644344329833984},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.5469583868980408},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4912700057029724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49015459418296814},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.46487927436828613},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.43795543909072876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3880349397659302},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2138327956199646},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.17700880765914917},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.1667713224887848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639856.3639862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639856.3639862","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639856.3639862","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Conference on AI-ML Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3639856.3639862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639856.3639862","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639856.3639862","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Conference on AI-ML Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396988532.pdf","grobid_xml":"https://content.openalex.org/works/W4396988532.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2068782491","https://openalex.org/W2735825272","https://openalex.org/W2754051771","https://openalex.org/W2892035503","https://openalex.org/W3080933703","https://openalex.org/W3196488721","https://openalex.org/W3197639792"],"related_works":["https://openalex.org/W128114763","https://openalex.org/W2042800611","https://openalex.org/W2051472919","https://openalex.org/W4386213410","https://openalex.org/W1981468049","https://openalex.org/W2072179998","https://openalex.org/W2371524820","https://openalex.org/W2534241281","https://openalex.org/W1987060659","https://openalex.org/W37707946"],"abstract_inverted_index":{"Functional":[0],"MRI":[1],"(fMRI)":[2],"is":[3,51,83,158],"widely":[4],"used":[5,52],"to":[6,25,85,108,165],"examine":[7],"brain":[8,20,32,88,185],"functionality":[9],"by":[10],"detecting":[11],"alteration":[12],"in":[13,145,180,201,213],"oxygenated":[14],"blood":[15],"flow":[16],"that":[17],"arises":[18],"with":[19,38,223],"activity.":[21],"This":[22],"work":[23],"aims":[24],"investigate":[26],"the":[27,143],"neurological":[28],"variation":[29],"of":[30,36,65,94,128,151,173,191,199],"human":[31,184],"responses":[33],"during":[34],"viewing":[35,61],"images":[37,64,93,117,150,190,206,222],"varied":[39],"complexity":[40],"using":[41],"fMRI":[42,58,112,163,205],"time":[43,168],"series":[44],"(TS)":[45],"analysis.":[46],"Publicly":[47],"available":[48],"BOLD5000":[49],"dataset":[50],"for":[53,219],"this":[54,129,174],"purpose":[55],"which":[56],"contains":[57],"scans":[59],"while":[60,90,187],"5254":[62],"distinct":[63],"diverse":[66,95,192,224],"categories,":[67],"drawn":[68],"from":[69,118,204],"three":[70],"standard":[71],"computer":[72],"vision":[73,214],"datasets:":[74],"COCO,":[75,119],"Imagenet":[76,120],"and":[77,104,121,197],"SUN.":[78],"To":[79],"understand":[80],"vision,":[81],"it":[82,138],"important":[84],"study":[86,99],"how":[87,182,220],"functions":[89,186],"looking":[91,188],"at":[92],"complexities.":[96,153,193],"Our":[97],"first":[98],"employs":[100],"classical":[101],"machine":[102],"learning":[103,106],"deep":[105],"strategies":[107],"classify":[109],"image":[110],"complexity-specific":[111],"TS,":[113],"represents":[114],"instances":[115],"when":[116,148],"SUN":[122],"datasets":[123,133],"are":[124,226],"seen.":[125],"The":[126,170],"implementation":[127],"classification":[130],"across":[131],"visual":[132],"holds":[134],"great":[135],"significance,":[136],"as":[137,208],"provides":[139],"valuable":[140],"insights":[141],"into":[142,189],"fluctuations":[144],"BOLD":[146,202],"signals":[147,203],"perceiving":[149],"varying":[152],"Subsequently,":[154],"temporal":[155],"semantic":[156],"segmentation":[157],"also":[159],"performed":[160],"on":[161],"whole":[162],"TS":[164],"segment":[166],"these":[167],"instances.":[169],"obtained":[171],"result":[172],"analysis":[175],"has":[176],"established":[177],"a":[178,209],"baseline":[179],"studying":[181],"differently":[183],"Therefore,":[194],"accurate":[195],"identification":[196],"distinguishing":[198],"variations":[200],"serves":[207],"critical":[210],"initial":[211],"step":[212],"studies,":[215],"providing":[216],"insightful":[217],"explanations":[218],"static":[221],"complexities":[225],"perceived.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
