{"id":"https://openalex.org/W7214715722","doi":"https://doi.org/10.64898/2026.09.26.754738","title":"Theta sweeps accelerate cognitive map learning by broadcasting information to unvisited regions","display_name":"Theta sweeps accelerate cognitive map learning by broadcasting information to unvisited regions","publication_year":2026,"publication_date":"2026-09-29","ids":{"openalex":"https://openalex.org/W7214715722","doi":"https://doi.org/10.64898/2026.09.26.754738"},"language":"en","primary_location":{"id":"doi:10.64898/2026.09.26.754738","doi":"https://doi.org/10.64898/2026.09.26.754738","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.26.754738","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/29/2026.09.26.754738.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/29/2026.09.26.754738.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043393453","display_name":"Tianhao Chu","orcid":"https://orcid.org/0000-0001-9910-9361","observed_orcids":["https://orcid.org/0000-0001-9910-9361"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhao Chu","raw_affiliation_strings":["Peking University"],"raw_orcid":"https://orcid.org/0000-0001-9910-9361","affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153453947","display_name":"JINFAN HE","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfan He","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021164660","display_name":"Zilong Ji","orcid":"https://orcid.org/0000-0001-7868-6178","observed_orcids":["https://orcid.org/0000-0001-7868-6178"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zilong Ji","raw_affiliation_strings":["University College London"],"raw_orcid":"https://orcid.org/0000-0001-7868-6178","affiliations":[{"raw_affiliation_string":"University College London","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386871","display_name":"Fang Fang","orcid":"https://orcid.org/0000-0002-7718-2354","observed_orcids":["https://orcid.org/0000-0002-7718-2354","https://orcid.org/0000-0002-2694-1402","https://orcid.org/0000-0001-6288-9528","https://orcid.org/0000-0002-5445-0766"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Fang","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106482748","display_name":"Si Wu","orcid":"https://orcid.org/0000-0001-9650-6935","observed_orcids":["https://orcid.org/0000-0001-9650-6935","https://orcid.org/0000-0003-4022-0852"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Si Wu","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5106482748"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10448","display_name":"Memory and Neural Mechanisms","score":0.98580002784729,"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":0.98580002784729,"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":0.008799999952316284,"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/T11904","display_name":"Spatial Cognition and Navigation","score":0.004100000020116568,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grid-cells","display_name":"grid cells","score":0.7870000004768372},{"id":"https://openalex.org/keywords/place-cells","display_name":"place cells","score":1.0},{"id":"https://openalex.org/keywords/theta-modulation","display_name":"theta modulation","score":0.5619999766349792},{"id":"https://openalex.org/keywords/firing-rate-adaptation","display_name":"firing rate adaptation","score":0.7239999771118164},{"id":"https://openalex.org/keywords/hebbian-plasticity","display_name":"Hebbian plasticity","score":0.9639999866485596},{"id":"https://openalex.org/keywords/information-broadcasting","display_name":"information broadcasting","score":0.3840000033378601},{"id":"https://openalex.org/keywords/spatial-memory","display_name":"spatial memory","score":0.35100001096725464},{"id":"https://openalex.org/keywords/world-models","display_name":"world models","score":0.5109999775886536},{"id":"https://openalex.org/keywords/brain-inspired-algorithms","display_name":"brain-inspired algorithms","score":0.6549999713897705},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"spatial correlation","score":0.3269999921321869}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.7106000185012817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611999869346619},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.5005000233650208},{"id":"https://openalex.org/C2983008078","wikidata":"https://www.wikidata.org/wiki/Q863495","display_name":"Grid cell","level":3,"score":0.45239999890327454},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.42899999022483826},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C110157686","wikidata":"https://www.wikidata.org/wiki/Q922122","display_name":"Broadcasting (networking)","level":2,"score":0.4221000075340271},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4133000075817108},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.38429999351501465},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.3736000061035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C93424556","wikidata":"https://www.wikidata.org/wiki/Q1080996","display_name":"Sensory memory","level":4,"score":0.31119999289512634},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C2781369091","wikidata":"https://www.wikidata.org/wiki/Q2303730","display_name":"Place cell","level":3,"score":0.2978000044822693},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.26190000772476196},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C140530291","wikidata":"https://www.wikidata.org/wiki/Q1225063","display_name":"Dorsum","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.64898/2026.09.26.754738","doi":"https://doi.org/10.64898/2026.09.26.754738","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.26.754738","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/29/2026.09.26.754738.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.64898/2026.09.26.754738","doi":"https://doi.org/10.64898/2026.09.26.754738","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.26.754738","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/29/2026.09.26.754738.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214715722.pdf","grobid_xml":"https://content.openalex.org/works/W7214715722.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7214056075","https://openalex.org/W7196935706","https://openalex.org/W2559315176","https://openalex.org/W7125976703","https://openalex.org/W4397021278","https://openalex.org/W4407087309","https://openalex.org/W3205917641","https://openalex.org/W3153818436","https://openalex.org/W7097757856","https://openalex.org/W2898600431"],"abstract_inverted_index":{"A":[0],"bstract":[1],"To":[2,56],"support":[3,183],"flexible":[4],"behavior,":[5],"animals":[6],"need":[7],"to":[8,49,86,107,116,146],"learn":[9],"map-like":[10],"representations":[11],"of":[12,36,64],"environments":[13,162,177],"from":[14,139,193],"limited":[15,194],"experiences,":[16],"but":[17],"the":[18,34,95,129,144],"underlying":[19],"neural":[20],"mechanisms":[21],"remain":[22],"unclear.":[23],"Here,":[24],"we":[25,60],"propose":[26],"that":[27,94,124],"theta":[28,72,78,126,157,169,172,184],"sweeps,":[29,79,170],"a":[30,62,108,187],"prominent":[31],"feature":[32],"in":[33,70],"activities":[35],"grid":[37,97],"and":[38,67,74,91,171,196],"place":[39,84],"cells":[40,85],"during":[41],"active":[42],"movement,":[43],"can":[44],"broadcast":[45],"acquired":[46,104],"sensory":[47,105],"information":[48,106,142],"swept":[50],"unvisited":[51,111,114],"regions,":[52],"accelerating":[53,190],"cognitive-map":[54,191],"learning.":[55],"test":[57],"this":[58],"idea,":[59],"built":[61],"network":[63],"direction,":[65],"grid,":[66],"place-cell":[68],"modules,":[69],"which":[71],"modulation":[73,158],"firing-rate":[75],"adaptation":[76],"generate":[77],"while":[80],"Hebbian":[81],"plasticity":[82],"enables":[83],"bind":[87],"environmental":[88],"observations.":[89],"Simulations":[90],"ablations":[92],"showed":[93],"dorsal\u2013ventral":[96],"organization":[98],"produces":[99],"multiscale,":[100],"independent":[101],"sweeps":[102,173,185],"broadcasting":[103],"broad,":[109],"fan-shaped":[110],"area,":[112],"enabling":[113],"regions":[115],"build":[117],"place-environment":[118],"associations.":[119],"The":[120,150],"model":[121,151],"further":[122],"suggests":[123],"declining":[125],"power":[127],"as":[128,134,176,186],"environment":[130,145],"becomes":[131],"familiar":[132],"acts":[133],"an":[135],"annealing":[136],"process,":[137],"shifting":[138],"learning":[140,192],"general":[141],"about":[143],"making":[147],"local":[148],"refinements.":[149],"makes":[152],"three":[153],"testable":[154],"predictions:":[155],"strong":[156],"accelerates":[159],"early":[160],"learning,":[161],"with":[163],"broader":[164],"spatial":[165],"correlations":[166],"favor":[167],"longer":[168],"progressively":[174],"shorten":[175],"become":[178],"familiar.":[179],"Together,":[180],"our":[181],"results":[182],"mechanism":[188],"for":[189,204],"explorations,":[195],"it":[197],"sheds":[198],"light":[199],"on":[200],"developing":[201],"brain-inspired":[202],"algorithms":[203],"building":[205],"world":[206],"models.":[207]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-30T00:00:00"}
