{"id":"https://openalex.org/W2762359974","doi":null,"title":"Episodic Memory via Spans and Cospans: A Hierarchy of Spatiotemporal Colimits","display_name":"Episodic Memory via Spans and Cospans: A Hierarchy of Spatiotemporal Colimits","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2762359974","mag":"2762359974"},"language":"it","primary_location":{"id":"pmh:oai:digitalrepository.unm.edu:ece_rpts-1051","doi":null,"is_oa":true,"landing_page_url":"https://digitalrepository.unm.edu/ece_rpts/52","pdf_url":"https://digitalrepository.unm.edu/ece_rpts/52","source":{"id":"https://openalex.org/S4377196368","display_name":"UNM\u2019s Digital Repository (University of New Mexico)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169521973","host_organization_name":"University of New Mexico","host_organization_lineage":["https://openalex.org/I169521973"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical & Computer Engineering Technical Reports","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalrepository.unm.edu/ece_rpts/52","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101435366","display_name":"M. J. R. Healy","orcid":"https://orcid.org/0000-0002-3879-6513","observed_orcids":["https://orcid.org/0000-0002-3879-6513"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. J. R. Healy","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3879-6513","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112896879","display_name":"Thomas P. Caudell","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas P. Caudell","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10448","display_name":"Memory and Neural Mechanisms","score":0.7368000149726868,"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/T10448","display_name":"Memory and Neural Mechanisms","score":0.7368000149726868,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.13199999928474426,"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/T10581","display_name":"Neural dynamics and brain function","score":0.03440000116825104,"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/episodic-memory","display_name":"episodic memory","score":1.0},{"id":"https://openalex.org/keywords/span","display_name":"span","score":0.6259999871253967},{"id":"https://openalex.org/keywords/cospan","display_name":"cospans","score":0.9940000176429749},{"id":"https://openalex.org/keywords/colimits","display_name":"colimits","score":0.9900000095367432},{"id":"https://openalex.org/keywords/category-theory","display_name":"category theory","score":0.7649999856948853},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.6470000147819519},{"id":"https://openalex.org/keywords/event-sequences","display_name":"event sequences","score":0.5950000286102295},{"id":"https://openalex.org/keywords/memory-hierarchy","display_name":"memory hierarchy","score":0.4580000042915344},{"id":"https://openalex.org/keywords/temporal-order","display_name":"temporal order","score":0.8059999942779541},{"id":"https://openalex.org/keywords/hippocampus","display_name":"hippocampus","score":0.7229999899864197},{"id":"https://openalex.org/keywords/medial-temporal-lobe","display_name":"medial temporal lobe","score":0.9900000095367432},{"id":"https://openalex.org/keywords/memory-retrieval","display_name":"memory retrieval","score":0.7490000128746033},{"id":"https://openalex.org/keywords/concept-hierarchy","display_name":"concept hierarchy","score":0.335999995470047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5768890976905823},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.45792752504348755},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:digitalrepository.unm.edu:ece_rpts-1051","doi":null,"is_oa":true,"landing_page_url":"https://digitalrepository.unm.edu/ece_rpts/52","pdf_url":"https://digitalrepository.unm.edu/ece_rpts/52","source":{"id":"https://openalex.org/S4377196368","display_name":"UNM\u2019s Digital Repository (University of New Mexico)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169521973","host_organization_name":"University of New Mexico","host_organization_lineage":["https://openalex.org/I169521973"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical & Computer Engineering Technical Reports","raw_type":"text"},{"id":"mag:2762359974","doi":null,"is_oa":false,"landing_page_url":"https://digitalrepository.unm.edu/cgi/viewcontent.cgi?article=1051&context=ece_rpts","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":{"id":"pmh:oai:digitalrepository.unm.edu:ece_rpts-1051","doi":null,"is_oa":true,"landing_page_url":"https://digitalrepository.unm.edu/ece_rpts/52","pdf_url":"https://digitalrepository.unm.edu/ece_rpts/52","source":{"id":"https://openalex.org/S4377196368","display_name":"UNM\u2019s Digital Repository (University of New Mexico)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169521973","host_organization_name":"University of New Mexico","host_organization_lineage":["https://openalex.org/I169521973"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical & Computer Engineering Technical Reports","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2762359974.pdf","grobid_xml":"https://content.openalex.org/works/W2762359974.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W1969929921","https://openalex.org/W2025014025"],"related_works":["https://openalex.org/W2978053364","https://openalex.org/W2096536972","https://openalex.org/W4414081648","https://openalex.org/W4415261507","https://openalex.org/W2787122570","https://openalex.org/W2953785103","https://openalex.org/W2130647577","https://openalex.org/W7095249489","https://openalex.org/W2026319124","https://openalex.org/W7096767144"],"abstract_inverted_index":{"We":[0,22,244],"introduce":[1],"a":[2,45,99,113,127,136,146,185,227,247],"category-theoretic":[3],"account":[4],"of":[5,11,16,19,38,47,86,96,101,135,148,150,157,163,194,201,220,224,241,250,253,262,268],"episodic":[6,34,140,153,255],"memory":[7,35,256],"as":[8,84,90,116,145,216],"an":[9,12,117,189],"outgrowth":[10],"existing":[13],"mathematical":[14],"theory":[15],"the":[17,56,61,106,131,161,169,195,199,212,221,251,260,263,269],"semantics":[18],"neural":[20,137,158],"networks.":[21,54],"propose":[23],"that":[24,129,202],"neu-":[25,52],"ral":[26,53],"systems":[27],"which":[28,204],"can":[29,81,123],"be":[30,82,124],"said":[31],"to":[32,188,239,258],"have":[33],"represent":[36],"sequences":[37],"events":[39],"and":[40,73,92,133],"their":[41,51],"associated":[42],"information":[43,203],"within":[44],"hierarchy":[46,62,100],"concepts,":[48],"represented":[49],"in":[50,109,167],"In":[55],"categorical":[57,87],"model":[58,257],"presented":[59],"here,":[60],"is":[63,142,205],"based":[64],"upon":[65],"col-":[66],"imits.":[67],"Colimits":[68],"\u201cput":[69],"everything":[70],"together\u201d":[71],"mathematically,":[72],"appear":[74],"throughout":[75],"many":[76],"categories.":[77],"The":[78,120],"event-sequence":[79],"colimits":[80],"visualized":[83],"assemblies":[85],"structures":[88,267],"known":[89],"spans":[91],"cospans.":[93],"A":[94],"string":[95,147],"cospans":[97,149],"formalizes":[98],"overlapping":[102,152],"episode":[103,118,190],"segments,":[104],"with":[105,246,265],"segments":[107,193],"increasing":[108],"length":[110],"by":[111],"adding":[112],"next":[114],"event":[115,165],"progresses.":[119],"concept":[121],"category":[122,128],"mapped":[125],"into":[126],"expresses":[130],"structure":[132,159],"activity":[134],"architecture.":[138],"An":[139],"sequence":[141,166,228],"for-":[143],"malized":[144],"its":[151,164],"segments.":[154],"This":[155],"kind":[156],"supports":[160],"tracing":[162],"either":[168],"forward":[170],"or":[171,191],"reverse":[172],"direc-":[173],"tion":[174],"during":[175],"recall,":[176],"but":[177,234],"it":[178,197],"also":[179,235],"does":[180],"much":[181],"more:":[182],"It":[183],"allows":[184],"holistic":[186],"access":[187,238],"entire":[192],"episode,":[196],"maintains":[198],"continuity":[200],"preserved":[206],"between":[207],"successive":[208],"events,":[209,225],"and,":[210],"finally,":[211],"cospan":[213],"cells":[214],"serve":[215],"explicit":[217],"repre-":[218],"sentatives":[219],"temporal":[222,272],"order":[223],"making":[226],"available":[229],"not":[230],"only":[231],"for":[232,236],"recall":[233],"direct":[237],"subsequences":[240],"greatest":[242],"interest.":[243],"end":[245],"preliminary":[248],"sketch":[249],"application":[252],"this":[254],"understanding":[259],"interaction":[261],"hippocampus":[264],"other":[266],"mammalian":[270],"medial":[271],"lobe.":[273]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2017-10-20T00:00:00"}
