{"id":"https://openalex.org/W6992334417","doi":null,"title":"On learning in mice and machines : continuous population codes in natural and artificial neural networks","display_name":"On learning in mice and machines : continuous population codes in natural and artificial neural networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W6992334417"},"language":"en","primary_location":{"id":"pmh:oai:openarchive.ki.se:10616/48831","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10616/48831","pdf_url":"https://openarchive.ki.se/articles/thesis/On_learning_in_mice_and_machines_continuous_population_codes_in_natural_and_artificial_neural_networks/26920462/1/files/48965905.pdf","source":{"id":"https://openalex.org/S4306400147","display_name":"Open Archive (Karolinska Institutet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I28166907","host_organization_name":"Karolinska Institutet","host_organization_lineage":["https://openalex.org/I28166907"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://openarchive.ki.se/articles/thesis/On_learning_in_mice_and_machines_continuous_population_codes_in_natural_and_artificial_neural_networks/26920462/1/files/48965905.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023314892","display_name":"Emil W\u00e4rnberg","orcid":"https://orcid.org/0000-0002-4754-4561","observed_orcids":["https://orcid.org/0000-0002-4754-4561"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"W\u00e4rnberg, Emil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5023314892"],"corresponding_institution_ids":[],"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":true,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.638700008392334,"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":0.638700008392334,"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":0.18250000476837158,"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/T10056","display_name":"Neurotransmitter Receptor Influence on Behavior","score":0.05169999971985817,"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/reinforcement-learning","display_name":"reinforcement learning","score":0.7490000128746033},{"id":"https://openalex.org/keywords/basal-ganglia","display_name":"basal ganglia","score":0.9480000138282776},{"id":"https://openalex.org/keywords/dorsomedial-striatum","display_name":"dorsomedial striatum","score":0.9639999866485596},{"id":"https://openalex.org/keywords/spiking-neural-networks","display_name":"spiking neural networks","score":0.7770000100135803},{"id":"https://openalex.org/keywords/neural-manifolds","display_name":"neural manifolds","score":0.9769999980926514},{"id":"https://openalex.org/keywords/direct-and-indirect-pathways","display_name":"direct and indirect pathways","score":0.7160000205039978},{"id":"https://openalex.org/keywords/mice","display_name":"mice","score":0.3240000009536743}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6852999925613403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6064000129699707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978999733924866},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5496000051498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4772999882698059},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C2780062018","wikidata":"https://www.wikidata.org/wiki/Q1319792","display_name":"Striatum","level":3,"score":0.4059999883174896},{"id":"https://openalex.org/C2778187257","wikidata":"https://www.wikidata.org/wiki/Q464210","display_name":"Basal ganglia","level":3,"score":0.3959999978542328},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C168451700","wikidata":"https://www.wikidata.org/wiki/Q1306528","display_name":"Neural engineering","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3043000102043152},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C2776032975","wikidata":"https://www.wikidata.org/wiki/Q5018833","display_name":"Calcium imaging","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:openarchive.ki.se:10616/48831","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10616/48831","pdf_url":"https://openarchive.ki.se/articles/thesis/On_learning_in_mice_and_machines_continuous_population_codes_in_natural_and_artificial_neural_networks/26920462/1/files/48965905.pdf","source":{"id":"https://openalex.org/S4306400147","display_name":"Open Archive (Karolinska Institutet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I28166907","host_organization_name":"Karolinska Institutet","host_organization_lineage":["https://openalex.org/I28166907"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"pmh:oai:DiVA.org:kth-338936","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-338936","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"pmh:oai:figshare.com:article/26920462","doi":null,"is_oa":false,"landing_page_url":"https://figshare.com/articles/thesis/On_learning_in_mice_and_machines_continuous_population_codes_in_natural_and_artificial_neural_networks/26920462","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:openarchive.ki.se:10616/48831","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10616/48831","pdf_url":"https://openarchive.ki.se/articles/thesis/On_learning_in_mice_and_machines_continuous_population_codes_in_natural_and_artificial_neural_networks/26920462/1/files/48965905.pdf","source":{"id":"https://openalex.org/S4306400147","display_name":"Open Archive (Karolinska Institutet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I28166907","host_organization_name":"Karolinska Institutet","host_organization_lineage":["https://openalex.org/I28166907"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6992334417.pdf","grobid_xml":"https://content.openalex.org/works/W6992334417.grobid-xml"},"referenced_works_count":130,"referenced_works":["https://openalex.org/W275204677","https://openalex.org/W1554715089","https://openalex.org/W1601443637","https://openalex.org/W1603857261","https://openalex.org/W1813175747","https://openalex.org/W1904024272","https://openalex.org/W1907481827","https://openalex.org/W1966537851","https://openalex.org/W1968261149","https://openalex.org/W1971797700","https://openalex.org/W1974803102","https://openalex.org/W1979441832","https://openalex.org/W1982827121","https://openalex.org/W1987953899","https://openalex.org/W1988699227","https://openalex.org/W1990556558","https://openalex.org/W1995341919","https://openalex.org/W2005269174","https://openalex.org/W2020539709","https://openalex.org/W2025141229","https://openalex.org/W2025797408","https://openalex.org/W2031914919","https://openalex.org/W2032471499","https://openalex.org/W2033708181","https://openalex.org/W2040870580","https://openalex.org/W2042520035","https://openalex.org/W2047125104","https://openalex.org/W2047471489","https://openalex.org/W2047683418","https://openalex.org/W2054043917","https://openalex.org/W2054466443","https://openalex.org/W2057001461","https://openalex.org/W2060588252","https://openalex.org/W2061304498","https://openalex.org/W2069209764","https://openalex.org/W2071663495","https://openalex.org/W2077374589","https://openalex.org/W2083972263","https://openalex.org/W2096847430","https://openalex.org/W2098658634","https://openalex.org/W2099097080","https://openalex.org/W2099652807","https://openalex.org/W2102109487","https://openalex.org/W2103670858","https://openalex.org/W2104148727","https://openalex.org/W2111534506","https://openalex.org/W2112337921","https://openalex.org/W2118706537","https://openalex.org/W2118830830","https://openalex.org/W2128562176","https://openalex.org/W2132205553","https://openalex.org/W2135576811","https://openalex.org/W2136820623","https://openalex.org/W2138641981","https://openalex.org/W2167362547","https://openalex.org/W2173520492","https://openalex.org/W2190645785","https://openalex.org/W2197227940","https://openalex.org/W2219858099","https://openalex.org/W2281943757","https://openalex.org/W2309693715","https://openalex.org/W2495730383","https://openalex.org/W2516591743","https://openalex.org/W2521335002","https://openalex.org/W2521836369","https://openalex.org/W2529004582","https://openalex.org/W2530887700","https://openalex.org/W2552737632","https://openalex.org/W2558788280","https://openalex.org/W2560181779","https://openalex.org/W2562471898","https://openalex.org/W2564687799","https://openalex.org/W2569240731","https://openalex.org/W2586160710","https://openalex.org/W2742829545","https://openalex.org/W2742906651","https://openalex.org/W2746775567","https://openalex.org/W2749662979","https://openalex.org/W2765302304","https://openalex.org/W2782973718","https://openalex.org/W2786702194","https://openalex.org/W2789454398","https://openalex.org/W2794838289","https://openalex.org/W2799652277","https://openalex.org/W2801746582","https://openalex.org/W2809845497","https://openalex.org/W2883392746","https://openalex.org/W2892578686","https://openalex.org/W2911430788","https://openalex.org/W2919115771","https://openalex.org/W2933053960","https://openalex.org/W2941990073","https://openalex.org/W2947160286","https://openalex.org/W2947312223","https://openalex.org/W2949369413","https://openalex.org/W2951065015","https://openalex.org/W2952112843","https://openalex.org/W2952557035","https://openalex.org/W2953886068","https://openalex.org/W2955532351","https://openalex.org/W2976141814","https://openalex.org/W2978368159","https://openalex.org/W2996858474","https://openalex.org/W2997241324","https://openalex.org/W3006462091","https://openalex.org/W3016391357","https://openalex.org/W3041725488","https://openalex.org/W3043133474","https://openalex.org/W3092771291","https://openalex.org/W3100035092","https://openalex.org/W3101328236","https://openalex.org/W3108147153","https://openalex.org/W3109041430","https://openalex.org/W3111310804","https://openalex.org/W3124050157","https://openalex.org/W3145118374","https://openalex.org/W3163199655","https://openalex.org/W3183617052","https://openalex.org/W3187516880","https://openalex.org/W3201503580","https://openalex.org/W3203909927","https://openalex.org/W4220818899","https://openalex.org/W4220847237","https://openalex.org/W4242770316","https://openalex.org/W4254152649","https://openalex.org/W4284893488","https://openalex.org/W4309475065","https://openalex.org/W4385450925","https://openalex.org/W4400293548","https://openalex.org/W7133232541"],"related_works":["https://openalex.org/W7214045101","https://openalex.org/W6903648325","https://openalex.org/W3166612562","https://openalex.org/W6962791388","https://openalex.org/W2752460728","https://openalex.org/W4311060906","https://openalex.org/W2608958277","https://openalex.org/W6941449400","https://openalex.org/W7099326962","https://openalex.org/W4248749667"],"abstract_inverted_index":{"Neural":[0],"networks,":[1],"whether":[2],"artificial":[3],"in":[4,9,107,168,248,330,355,396],"a":[5,169,182,202,239,249,254,274,289,307,392],"computer":[6],"or":[7,19],"natural":[8],"the":[10,56,59,126,155,163,195,225,243,259,268,271,283,397,402],"brain,":[11],"could":[12],"represent":[13,32],"information":[14],"either":[15],"using":[16,36,112,144,306,313],"discrete":[17,314],"symbols":[18],"continuous":[20,33,104,308],"vector":[21,34,105],"spaces.":[22],"In":[23,96,133,172,197,234],"this":[24,297],"thesis,":[25],"I":[26,82,279],"explore":[27,100],"how":[28,242],"neural":[29,39,45,127,185],"networks":[30,40,57,108],"can":[31],"spaces,":[35],"both":[37],"simulated":[38],"and":[41,63,71,83,85,94,115,159,215,273,304,311,353],"analysis":[42,88,180],"of":[43,58,89,109,148,184,187,211,231,270,276,317,350,374,389,401,405],"real":[44,90],"population":[46,309],"data":[47,91,139,179],"recorded":[48],"from":[49,69,140,224,378],"mice.":[50],"A":[51],"special":[52],"focus":[53],"is":[54,122],"on":[55,64,267],"basal":[60,284,398],"ganglia":[61,285],"circuit":[62,290,298],"reinforcement":[65,188,292,300],"learning,":[66,189],"i.e.,":[67],"learning":[68,293,301],"rewards":[70,167],"punishments.":[72],"The":[73],"thesis":[74],"includes":[75],"four":[76],"scientific":[77,318],"papers:":[78],"two":[79,86,229],"theoretical/computational":[80],"(Papers":[81,92],"IV)":[84],"with":[87,151,174],"II":[93],"III).":[95],"Paper":[97,134,198,235],"I,":[98],"we":[99,136,200,237],"methods":[101],"for":[102,119,154,206,241,264,291],"implementing":[103],"spaces":[106],"spiking":[110,331],"neurons":[111,208,223,375],"multidimensional":[113],"attractors,":[114],"propose":[116,238],"an":[117],"explanation":[118],"why":[120],"it":[121,217],"hard":[123],"to":[124,218,258],"escape":[125],"manifolds":[128,329],"created":[129],"by":[130],"such":[131],"attractors.":[132],"II,":[135],"analyze":[137],"experimental":[138],"dorsomedial":[141,226],"striatum":[142,227],"collected":[143],"1-photon":[145,212,379],"calcium":[146,213,380],"imaging":[147],"transgenic":[149],"mice":[150,164],"celltype-specific":[152],"markers":[153],"striatal":[156,221,358],"direct,":[157],"indirect":[158],"patch":[160],"pathways,":[161],"as":[162,262,294,391],"were":[165],"gathering":[166],"2-choice":[170],"task.":[171],"line":[173],"extensive":[175],"previous":[176],"results,":[177],"our":[178],"revealed":[181],"number":[183],"signatures":[186],"but":[190],"no":[191],"apparent":[192],"difference":[193],"between":[194],"pathways.":[196,359],"III,":[199],"present":[201],"new":[203],"software":[204],"tool":[205],"tracking":[207],"across":[209,228,376],"weeks":[210,230,377],"imaging,":[214],"employ":[216],"follow":[219],"patch-specific":[220],"projection":[222,246],"daily":[232],"recordings.":[233],"IV,":[236],"model":[240],"nigrostriatal":[244],"dopaminergic":[245],"could,":[247],"biologically":[250],"plausible":[251],"way,":[252],"convey":[253],"vector-valued":[255],"error":[256],"gradient":[257],"dorsal":[260,357],"striatum,":[261],"required":[263],"backpropagation.":[265],"Based":[266],"results":[269],"papers":[272,319],"review":[275],"existing":[277],"literature,":[278],"argue":[280],"that":[281],"while":[282],"indeed":[286],"make":[287],"up":[288],"previously":[295],"thought,":[296],"represents":[299],"states,":[302],"actions":[303],"policies":[305],"code":[310],"not":[312],"symbols.":[315],"List":[316],"I.":[320],"W\u00e4rnberg":[321,384],"&":[322,345,370,385],"Kumar.":[323,386],"(2019).":[324],"Perturbing":[325],"low":[326],"dimensional":[327],"activity":[328,373],"neuronal":[332],"networks.":[333],"PLoS":[334],"Computational":[335],"Biology.":[336],"15(5).":[337],"https://doi.org/10.1371/journal.pcbi.1007074":[338],"II.":[339],"Weglage*,":[340],"W\u00e4rnberg*,":[341],"Lazaridis*,":[342],"Calvigioni,":[343],"Tzortzi":[344],"Meletis.":[346,371],"(2021).":[347],"Complete":[348],"representation":[349],"action":[351],"space":[352],"value":[354],"all":[356],"Cell":[360],"Reports":[361],"36.":[362],"*Equal":[363],"contribution.":[364],"https://doi.org/10.1016/j.celrep.2021.109437":[365],"III.":[366],"W\u00e4rnberg,":[367],"Skara,":[368],"Mantas":[369],"Tracking":[372],"imaging.":[381],"[Manuscript]":[382],"IV.":[383],"(2023).":[387],"Feasibility":[388],"dopamine":[390],"vectorvalued":[393],"feedback":[394],"signal":[395],"ganglia.":[399],"Proceedings":[400],"National":[403],"Academy":[404],"Sciences":[406],"(PNAS).":[407],"120(32).":[408],"https://doi.org/10.1073/pnas.2221994120":[409]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2025-10-10T00:00:00"}