{"id":"https://openalex.org/W2138541196","doi":null,"title":"On large-scale neural simulations and applications in neuroinformatics","display_name":"On large-scale neural simulations and applications in neuroinformatics","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2138541196","mag":"2138541196"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:kth-122190","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122190","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"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122190","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032216565","display_name":"Simon Benjaminsson","orcid":"https://orcid.org/0000-0002-4554-9203","observed_orcids":["https://orcid.org/0000-0002-4554-9203"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Simon Benjaminsson","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4554-9203","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5032216565"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9042999744415283,"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":0.9042999744415283,"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/T10320","display_name":"Neural Networks and Applications","score":0.032499998807907104,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.021700000390410423,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/large-scale-neural-simulation","display_name":"large-scale neural simulation","score":0.9900000095367432},{"id":"https://openalex.org/keywords/high-performance-computing","display_name":"high-performance computing","score":0.7160000205039978},{"id":"https://openalex.org/keywords/neuroinformatics","display_name":"neuroinformatics","score":0.652999997138977},{"id":"https://openalex.org/keywords/structural-plasticity","display_name":"structural plasticity","score":0.8339999914169312},{"id":"https://openalex.org/keywords/olfactory-adaptation","display_name":"olfactory adaptation","score":0.8289999961853027},{"id":"https://openalex.org/keywords/resting-state-networks","display_name":"resting-state networks","score":0.9639999866485596},{"id":"https://openalex.org/keywords/fmri","display_name":"functional MRI","score":0.8970000147819519},{"id":"https://openalex.org/keywords/blood-vessel-segmentation","display_name":"blood vessel segmentation","score":0.7540000081062317},{"id":"https://openalex.org/keywords/brain-inspired-algorithms","display_name":"brain-inspired algorithms","score":0.9150000214576721}],"concepts":[{"id":"https://openalex.org/C205427263","wikidata":"https://www.wikidata.org/wiki/Q1931480","display_name":"Neuroinformatics","level":2,"score":0.9136525392532349},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6931134462356567},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6210827231407166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5550497174263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44232267141342163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34043335914611816},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.24943691492080688},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06976264715194702},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0655556321144104}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:DiVA.org:kth-122190","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122190","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":"mag:2138541196","doi":null,"is_oa":false,"landing_page_url":"http://diva-portal.org/smash/get/diva2:621260/fulltext01.pdf","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:DiVA.org:kth-122190","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122190","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"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W21386870","https://openalex.org/W22297218","https://openalex.org/W37618770","https://openalex.org/W87575567","https://openalex.org/W171290689","https://openalex.org/W216651172","https://openalex.org/W221598250","https://openalex.org/W250876108","https://openalex.org/W279464099","https://openalex.org/W577571331","https://openalex.org/W602834913","https://openalex.org/W613766092","https://openalex.org/W1510543252","https://openalex.org/W1630194880","https://openalex.org/W1679609080","https://openalex.org/W1971017968","https://openalex.org/W1972445013","https://openalex.org/W1975947675","https://openalex.org/W1982602109","https://openalex.org/W1985392528","https://openalex.org/W1985940938","https://openalex.org/W1985983039","https://openalex.org/W1987827650","https://openalex.org/W1991566301","https://openalex.org/W1994872281","https://openalex.org/W2000908757","https://openalex.org/W2001141328","https://openalex.org/W2002923643","https://openalex.org/W2006096283","https://openalex.org/W2006783519","https://openalex.org/W2011525418","https://openalex.org/W2011642956","https://openalex.org/W2012074763","https://openalex.org/W2013457269","https://openalex.org/W2016444985","https://openalex.org/W2016574277","https://openalex.org/W2016708835","https://openalex.org/W2016843373","https://openalex.org/W2021768951","https://openalex.org/W2026717773","https://openalex.org/W2031939736","https://openalex.org/W2033455677","https://openalex.org/W2037195447","https://openalex.org/W2043187947","https://openalex.org/W2047855823","https://openalex.org/W2051340164","https://openalex.org/W2072255637","https://openalex.org/W2076507262","https://openalex.org/W2078516287","https://openalex.org/W2079253719","https://openalex.org/W2079450984","https://openalex.org/W2081986990","https://openalex.org/W2087058693","https://openalex.org/W2087861759","https://openalex.org/W2093902047","https://openalex.org/W2101422249","https://openalex.org/W2102529713","https://openalex.org/W2103179919","https://openalex.org/W2103460052","https://openalex.org/W2105524676","https://openalex.org/W2109639508","https://openalex.org/W2111352290","https://openalex.org/W2112796928","https://openalex.org/W2114208686","https://openalex.org/W2116360511","https://openalex.org/W2116649573","https://openalex.org/W2118232570","https://openalex.org/W2118858186","https://openalex.org/W2119823590","https://openalex.org/W2122001273","https://openalex.org/W2123341385","https://openalex.org/W2123544472","https://openalex.org/W2123713131","https://openalex.org/W2128949090","https://openalex.org/W2129109788","https://openalex.org/W2133837147","https://openalex.org/W2135576811","https://openalex.org/W2137526583","https://openalex.org/W2144982973","https://openalex.org/W2147502381","https://openalex.org/W2147678066","https://openalex.org/W2149194912","https://openalex.org/W2149414752","https://openalex.org/W2155993650","https://openalex.org/W2157426492","https://openalex.org/W2162353371","https://openalex.org/W2163179684","https://openalex.org/W2166806817","https://openalex.org/W2172122397","https://openalex.org/W2181285332","https://openalex.org/W2313062648","https://openalex.org/W2468532247","https://openalex.org/W2764433274","https://openalex.org/W2913656588","https://openalex.org/W3142828467","https://openalex.org/W3202912068"],"related_works":["https://openalex.org/W279464099","https://openalex.org/W2737446816","https://openalex.org/W2072255637","https://openalex.org/W2567873593","https://openalex.org/W2804009272","https://openalex.org/W137088274","https://openalex.org/W1553784283","https://openalex.org/W2014958069","https://openalex.org/W6910569021","https://openalex.org/W2197077540"],"abstract_inverted_index":{"This":[0,120],"thesis":[1,299],"consists":[2],"of":[3,12,38,56,67,74,109,115,134,180,228,290,307,321,341],"three":[4],"parts":[5,33],"related":[6],"to":[7,124,166,188,204,247,273,315],"the":[8,13,36,51,68,75,113,116,135,153,177,197,217,229,242,249,281,305,319,339],"in":[9,26,30,152,176,231,252,326,346],"silico":[10],"study":[11,316],"brain:":[14],"technologies":[15,303],"for":[16,50,96,146,225,283,304,318],"large-scale":[17,27,41,193,308],"neural":[18,20,42,57,110,309,322],"simulations,":[19],"algorithms":[21,80,183],"and":[22,24,54,81,91,106,170,184,234,287,324,338],"models":[23,82,310,331],"applications":[25,191],"data":[28,194,215,344],"analysis":[29,53,345],"neuroinformatics.":[31],"All":[32],"rely":[34],"on":[35,59,72,83,150,237,311,332],"use":[37,314,340],"supercomputers.":[39],"A":[40],"simulator":[43,69],"is":[44,70,99,139,160,221,265],"developed":[45],"where":[46,141,216,276],"techniques":[47],"are":[48,89,186],"explored":[49],"simulation,":[52],"visualization":[55,236],"systems":[58],"a":[60,84,132,144,157,202,245,274,333],"high":[61,85,334],"biological":[62,86,335],"abstraction":[63,87,336],"level.":[64],"The":[65,267],"performance":[66],"investigated":[71],"some":[73],"largest":[76],"supercomputers":[77],"available.":[78],"Neural":[79],"level":[88,251,337],"presented":[90,140,161],"simulated.":[92],"Firstly,":[93],"an":[94],"algorithm":[95],"structural":[97],"plasticity":[98],"suggested":[100],"which":[101,162,171],"can":[102,121,172,278],"set":[103],"up":[104],"connectivity":[105],"response":[107],"properties":[108],"units":[111],"from":[112,208,255,259],"statistics":[114,230],"incoming":[117],"sensory":[118,129,168,328],"data.":[119],"be":[122],"used":[123],"construct":[125],"biologically":[126],"inspired":[127],"hierarchical":[128,158,327],"pathways.":[130],"Secondly,":[131],"model":[133,159],"mammalian":[136],"olfactory":[137,154],"system":[138],"we":[142,200],"suggest":[143],"mechanism":[145],"mixture":[147],"segmentation":[148],"based":[149],"adaptation":[151],"cortex.":[155],"Thirdly,":[156],"uses":[163],"top-down":[164],"activity":[165],"shape":[167],"representations":[169,179,323],"encode":[173],"temporal":[174],"history":[175],"spatial":[178,239],"populations.":[181],"Brain-inspired":[182],"methods":[185,272],"applied":[187],"two":[189],"neuroinformatics":[190,347],"involving":[192],"analysis.":[195],"In":[196,241,296],"first":[198],"application,":[199,244],"present":[201],"way":[203],"extract":[205],"resting-state":[206,214],"networks":[207],"functional":[209],"magnetic":[210],"resonance":[211],"imaging":[212],"(fMRI)":[213],"final":[218],"extraction":[219],"step":[220],"computationally":[222],"inexpensive,":[223],"allowing":[224],"rapid":[226],"exploration":[227],"large":[232],"datasets":[233],"their":[235,313],"different":[238],"scales.":[240],"second":[243],"method":[246,268],"estimate":[248],"radioactivity":[250],"arterial":[253,285,291],"plasma":[254],"segmented":[256],"blood":[257,292],"vessels":[258],"positron":[260],"emission":[261],"tomography":[262],"(PET)":[263],"images":[264],"presented.":[266],"outperforms":[269],"previously":[270],"reported":[271],"degree":[275],"it":[277],"partly":[279],"remove":[280],"need":[282],"invasive":[284],"cannulation":[286],"continuous":[288],"sampling":[289],"during":[293],"PET":[294],"imaging.":[295],"conclusion,":[297],"this":[298],"provides":[300],"insights":[301],"into":[302],"simulation":[306],"supercomputers,":[312],"mechanisms":[317],"formation":[320],"functions":[325],"pathways":[329],"using":[330],"large-scale,":[342],"fine-grained":[343],"applications.":[348]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}
