{"id":"https://openalex.org/W3018844151","doi":"https://doi.org/10.1371/journal.pcbi.1007796","title":"Efficient and flexible representation of higher-dimensional cognitive variables with grid cells","display_name":"Efficient and flexible representation of higher-dimensional cognitive variables with grid cells","publication_year":2020,"publication_date":"2020-04-28","ids":{"openalex":"https://openalex.org/W3018844151","doi":"https://doi.org/10.1371/journal.pcbi.1007796","mag":"3018844151","pmid":"https://pubmed.ncbi.nlm.nih.gov/32343687"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1007796","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007796","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007796&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007796&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032028613","display_name":"Mirko Klukas","orcid":"https://orcid.org/0000-0001-8248-7593"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mirko Klukas","raw_affiliation_strings":["MIT Department of Brain and Cognitive Sciences, Cambridge, Massachusetts, United States of America","Numenta, Redwood City, California, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-8248-7593","affiliations":[{"raw_affiliation_string":"MIT Department of Brain and Cognitive Sciences, Cambridge, Massachusetts, United States of America","institution_ids":[]},{"raw_affiliation_string":"Numenta, Redwood City, California, United States of America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011450718","display_name":"Marcus Lewis","orcid":"https://orcid.org/0000-0002-3141-1764"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcus Lewis","raw_affiliation_strings":["Numenta, Redwood City, California, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-3141-1764","affiliations":[{"raw_affiliation_string":"Numenta, Redwood City, California, United States of America","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083541135","display_name":"Ila Fiete","orcid":"https://orcid.org/0000-0003-4738-2539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ila Fiete","raw_affiliation_strings":["MIT Department of Brain and Cognitive Sciences, Cambridge, Massachusetts, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-4738-2539","affiliations":[{"raw_affiliation_string":"MIT Department of Brain and Cognitive Sciences, Cambridge, Massachusetts, United States of America","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032028613"],"corresponding_institution_ids":[],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":3.1837,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.92496074,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"16","issue":"4","first_page":"e1007796","last_page":"e1007796"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","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/T10581","display_name":"Neural dynamics and brain function","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/T10448","display_name":"Memory and Neural Mechanisms","score":0.9994000196456909,"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/encode","display_name":"ENCODE","score":0.7145007848739624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6540335416793823},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6314014196395874},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6262878179550171},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6049594879150391},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.5328933000564575},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5326853394508362},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5166133046150208},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4239041805267334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2518007457256317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24478745460510254}],"concepts":[{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.7145007848739624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540335416793823},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6314014196395874},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6262878179550171},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6049594879150391},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.5328933000564575},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5326853394508362},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5166133046150208},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4239041805267334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2518007457256317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24478745460510254},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000071038","descriptor_name":"Grid Cells","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":true},{"descriptor_ui":"D000071038","descriptor_name":"Grid Cells","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":true},{"descriptor_ui":"D000071038","descriptor_name":"Grid Cells","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":true},{"descriptor_ui":"D000071038","descriptor_name":"Grid Cells","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000071038","descriptor_name":"Grid Cells","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000071038","descriptor_name":"Grid Cells","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002685","descriptor_name":"Chiroptera","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002685","descriptor_name":"Chiroptera","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002685","descriptor_name":"Chiroptera","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008568","descriptor_name":"Memory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008568","descriptor_name":"Memory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008568","descriptor_name":"Memory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018728","descriptor_name":"Entorhinal Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D018728","descriptor_name":"Entorhinal Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D018728","descriptor_name":"Entorhinal Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1007796","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007796","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007796&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:32343687","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32343687","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:doaj.org/article:edd05650d57945f5ae9496e98d7b06df","is_oa":true,"landing_page_url":"https://doaj.org/article/edd05650d57945f5ae9496e98d7b06df","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 16, Iss 4, p e1007796 (2020)","raw_type":"article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/133735","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/133735","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS","raw_type":"http://purl.org/eprint/type/JournalArticle"},{"id":"pmh:oai:pubmedcentral.nih.gov:7209352","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7209352","pdf_url":null,"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":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1007796","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007796","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007796&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306082","display_name":"Howard Hughes Medical Institute","ror":"https://ror.org/006w34k90"},{"id":"https://openalex.org/F4320306164","display_name":"Simons Foundation","ror":"https://ror.org/01cmst727"},{"id":"https://openalex.org/F4320334164","display_name":"Simons Institute for the Theory of Computing, University of California Berkeley","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3018844151.pdf","grobid_xml":"https://content.openalex.org/works/W3018844151.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1513286638","https://openalex.org/W1585015036","https://openalex.org/W1941769416","https://openalex.org/W1970792572","https://openalex.org/W1997692559","https://openalex.org/W2008936540","https://openalex.org/W2012918357","https://openalex.org/W2022401803","https://openalex.org/W2030805642","https://openalex.org/W2032510926","https://openalex.org/W2033708181","https://openalex.org/W2045353501","https://openalex.org/W2058736264","https://openalex.org/W2060489187","https://openalex.org/W2073461968","https://openalex.org/W2077554996","https://openalex.org/W2082115891","https://openalex.org/W2084519627","https://openalex.org/W2107852368","https://openalex.org/W2117443520","https://openalex.org/W2132238259","https://openalex.org/W2286289865","https://openalex.org/W2434898965","https://openalex.org/W2599683001","https://openalex.org/W2753526920","https://openalex.org/W2782119748","https://openalex.org/W2782284634","https://openalex.org/W2893279778","https://openalex.org/W2951002351","https://openalex.org/W2951255200","https://openalex.org/W3005166101"],"related_works":["https://openalex.org/W2357657342","https://openalex.org/W2468279273","https://openalex.org/W2153432761","https://openalex.org/W1580144672","https://openalex.org/W2152623100","https://openalex.org/W2142042635","https://openalex.org/W2354198838","https://openalex.org/W2025953124","https://openalex.org/W2531188731","https://openalex.org/W2065031478"],"abstract_inverted_index":{"We":[0],"shed":[1],"light":[2],"on":[3,25],"the":[4,53,56,69,112,117],"potential":[5],"of":[6,14,33,39,52,64,119,163],"entorhinal":[7],"grid":[8,47,121,148,164],"cells":[9],"to":[10,22,108,155],"efficiently":[11],"encode":[12,61],"variables":[13,63,182],"dimension":[15,77],"greater":[16],"than":[17],"two,":[18],"while":[19,67],"remaining":[20],"faithful":[21],"empirical":[23],"data":[24],"their":[26],"low-dimensional":[27,40,45],"structure.":[28],"Our":[29],"model":[30,113],"constructs":[31],"representations":[32],"high-dimensional":[34,184],"inputs":[35],"through":[36],"a":[37,123,171],"combination":[38],"random":[41],"projections":[42],"and":[43,88,96,125,178],"\"classical\"":[44],"hexagonal":[46],"cell":[48],"responses.":[49],"Without":[50],"reconfiguration":[51],"recurrent":[54],"circuit,":[55],"same":[57],"system":[58],"can":[59,138],"flexibly":[60],"multiple":[62,147],"different":[65],"dimensions":[66],"maximizing":[68],"coding":[70,82,177],"range":[71],"(per":[72],"dimension)":[73],"by":[74,90,141],"automatically":[75],"trading-off":[76],"with":[78],"an":[79],"exponentially":[80],"large":[81],"range.":[83],"It":[84],"achieves":[85],"high":[86],"efficiency":[87],"flexibility":[89],"combining":[91],"two":[92],"powerful":[93],"concepts,":[94],"modularity":[95],"mixed":[97],"selectivity,":[98],"in":[99,132,183],"what":[100],"we":[101],"call":[102],"\"mixed":[103],"modular":[104],"coding\".":[105],"In":[106],"contrast":[107],"previously":[109],"proposed":[110],"schemes,":[111],"does":[114],"not":[115],"require":[116],"formation":[118],"higher-dimensional":[120,152],"responses,":[122],"cell-inefficient":[124],"rigid":[126],"mechanism.":[127],"The":[128,158],"firing":[129],"fields":[130],"observed":[131],"flying":[133],"bats":[134],"or":[135],"climbing":[136],"rats":[137],"be":[139],"generated":[140],"neurons":[142],"that":[143,167,174],"combine":[144],"activity":[145],"from":[146],"modules,":[149],"each":[150],"representing":[151],"spaces":[153],"according":[154],"our":[156,161],"model.":[157],"idea":[159],"expands":[160],"understanding":[162],"cells,":[165],"suggesting":[166],"they":[168],"could":[169],"implement":[170],"general":[172],"circuit":[173],"generates":[175],"on-demand":[176],"memory":[179],"states":[180],"for":[181],"vector":[185],"spaces.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":4}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}