{"id":"https://openalex.org/W2111737714","doi":"https://doi.org/10.1162/neco_a_00237","title":"Computational Advantages of Reverberating Loops for Sensorimotor Learning","display_name":"Computational Advantages of Reverberating Loops for Sensorimotor Learning","publication_year":2011,"publication_date":"2011-11-17","ids":{"openalex":"https://openalex.org/W2111737714","doi":"https://doi.org/10.1162/neco_a_00237","mag":"2111737714","pmid":"https://pubmed.ncbi.nlm.nih.gov/22091669"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00237","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00237","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080502861","display_name":"Kristen Fortney","orcid":"https://orcid.org/0000-0002-6008-2170"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Kristen Fortney","raw_affiliation_strings":["Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 2M9, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 2M9, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050906811","display_name":"Douglas Tweed","orcid":"https://orcid.org/0000-0002-4295-1977"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Douglas B. Tweed","raw_affiliation_strings":["Departments of Physiology and Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; and Centre for Vision Research, York University, Toronto, ON M3J 1P3, Canada","Departments of Physiology and Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departments of Physiology and Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; and Centre for Vision Research, York University, Toronto, ON M3J 1P3, Canada","institution_ids":["https://openalex.org/I192455969","https://openalex.org/I185261750"]},{"raw_affiliation_string":"Departments of Physiology and Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050906811","https://openalex.org/A5080502861"],"corresponding_institution_ids":["https://openalex.org/I185261750","https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.4261,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63773864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":"3","first_page":"611","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10982","display_name":"Motor Control and Adaptation","score":0.9958999752998352,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9958999752998352,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9926999807357788,"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/T11236","display_name":"Control Systems and Identification","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.5014617443084717},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46077626943588257},{"id":"https://openalex.org/keywords/models-of-neural-computation","display_name":"Models of neural computation","score":0.441668301820755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43909403681755066},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3970220983028412},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3796723783016205},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3273252844810486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5014617443084717},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46077626943588257},{"id":"https://openalex.org/C3832189","wikidata":"https://www.wikidata.org/wiki/Q8588916","display_name":"Models of neural computation","level":3,"score":0.441668301820755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43909403681755066},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3970220983028412},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3796723783016205},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3273252844810486}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_00237","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00237","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:22091669","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22091669","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":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W44157068","https://openalex.org/W161283806","https://openalex.org/W583442126","https://openalex.org/W1487127700","https://openalex.org/W1487432464","https://openalex.org/W1488386842","https://openalex.org/W1498436455","https://openalex.org/W1508336432","https://openalex.org/W1516917022","https://openalex.org/W1517236425","https://openalex.org/W1559107966","https://openalex.org/W1560724230","https://openalex.org/W1571122051","https://openalex.org/W1572161815","https://openalex.org/W1586338196","https://openalex.org/W1596318652","https://openalex.org/W1604195904","https://openalex.org/W1608745771","https://openalex.org/W1819447595","https://openalex.org/W1863909522","https://openalex.org/W1956636948","https://openalex.org/W1974950588","https://openalex.org/W1980440818","https://openalex.org/W1990687200","https://openalex.org/W2016154932","https://openalex.org/W2018139345","https://openalex.org/W2021459769","https://openalex.org/W2025891204","https://openalex.org/W2036029762","https://openalex.org/W2036244090","https://openalex.org/W2036560603","https://openalex.org/W2043968544","https://openalex.org/W2047278710","https://openalex.org/W2048424346","https://openalex.org/W2089267847","https://openalex.org/W2103780005","https://openalex.org/W2105209710","https://openalex.org/W2109302401","https://openalex.org/W2123383560","https://openalex.org/W2128817619","https://openalex.org/W2132227591","https://openalex.org/W2137983211","https://openalex.org/W2141962556","https://openalex.org/W2144174236","https://openalex.org/W2153290280","https://openalex.org/W2159110831","https://openalex.org/W2164649534","https://openalex.org/W2168648043","https://openalex.org/W2170585417","https://openalex.org/W2341171179","https://openalex.org/W2478916852","https://openalex.org/W2481926318","https://openalex.org/W2482792214","https://openalex.org/W2798500587","https://openalex.org/W2895674046","https://openalex.org/W2962614881","https://openalex.org/W3144619878","https://openalex.org/W3146803896","https://openalex.org/W3187910756","https://openalex.org/W4236400251","https://openalex.org/W4247767980","https://openalex.org/W4252318916","https://openalex.org/W4299511277"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W2489345653","https://openalex.org/W2039207814","https://openalex.org/W4250933840","https://openalex.org/W3111451084"],"abstract_inverted_index":{"When":[0],"we":[1,33],"learn":[2,49,100],"something":[3],"new,":[4],"our":[5],"brain":[6],"may":[7],"store":[8],"the":[9,30,60,73,120,125],"information":[10],"in":[11,14,72,87],"synapses":[12],"or":[13],"reverberating":[15],"loops":[16,36],"of":[17,23,62,75,118,122],"electrical":[18],"activity,":[19],"but":[20,86,104],"current":[21],"theories":[22],"motor":[24],"learning":[25],"focus":[26],"almost":[27],"entirely":[28],"on":[29],"synapses.":[31],"Here":[32],"show":[34],"that":[35,127],"could":[37],"also":[38],"play":[39],"a":[40,70,132],"role":[41,121],"and":[42,58,91,109,124,138],"would":[43],"bring":[44],"advantages:":[45],"loop-based":[46],"algorithms":[47,80,115],"can":[48,94],"complex":[50],"control":[51,82],"tasks":[52],"faster,":[53],"with":[54],"exponentially":[55],"fewer":[56],"neurons,":[57],"avoid":[59],"problem":[61],"weight":[63],"transport.":[64],"They":[65],"do":[66],"all":[67],"this":[68,88],"at":[69],"cost:":[71],"presence":[74],"long":[76],"feedback":[77],"delays,":[78],"loop":[79,90],"cannot":[81],"very":[83,106],"fast":[84,107],"movements,":[85],"case,":[89],"synaptic":[92],"mechanisms":[93],"complement":[95],"each":[96],"other-mixed":[97],"systems":[98],"quickly":[99],"to":[101],"make":[102,140],"accurate":[103],"not":[105],"motions":[108],"then":[110],"gradually":[111],"speed":[112],"up.":[113],"Loop":[114],"explain":[116],"aspects":[117],"consolidation,":[119],"attention,":[123],"relapses":[126],"are":[128],"sometimes":[129],"seen":[130],"after":[131],"task":[133],"has":[134],"apparently":[135],"been":[136],"learned,":[137],"they":[139],"further":[141],"predictions.":[142]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-23T13:55:30.953635","created_date":"2025-10-10T00:00:00"}