{"id":"https://openalex.org/W2160248983","doi":"https://doi.org/10.1162/neco_a_00633","title":"Influence of External Inputs and Asymmetry of Connections on Information-Geometric Measures Involving Up to Ten Neuronal Interactions","display_name":"Influence of External Inputs and Asymmetry of Connections on Information-Geometric Measures Involving Up to Ten Neuronal Interactions","publication_year":2014,"publication_date":"2014-06-12","ids":{"openalex":"https://openalex.org/W2160248983","doi":"https://doi.org/10.1162/neco_a_00633","mag":"2160248983","pmid":"https://pubmed.ncbi.nlm.nih.gov/24922506"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00633","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00633","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/A5010403330","display_name":"Yimin Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I107949126","display_name":"University of Lethbridge","ror":"https://ror.org/044j76961","country_code":"CA","type":"education","lineage":["https://openalex.org/I107949126"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yimin Nie","raw_affiliation_strings":["Department of Neuroscience, Canadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB T1K 3M4 Canada"],"affiliations":[{"raw_affiliation_string":"Department of Neuroscience, Canadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB T1K 3M4 Canada","institution_ids":["https://openalex.org/I107949126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003609825","display_name":"Jean\u2010Marc Fellous","orcid":"https://orcid.org/0000-0003-4102-8336"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jean-Marc Fellous","raw_affiliation_strings":["Department of Psychology and Department of Applied Mathematics, University of Arizona, Tucson, AZ 85721, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Psychology and Department of Applied Mathematics, University of Arizona, Tucson, AZ 85721, U.S.A","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034290522","display_name":"Masami Tatsuno","orcid":"https://orcid.org/0000-0003-2698-2762"},"institutions":[{"id":"https://openalex.org/I107949126","display_name":"University of Lethbridge","ror":"https://ror.org/044j76961","country_code":"CA","type":"education","lineage":["https://openalex.org/I107949126"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Masami Tatsuno","raw_affiliation_strings":["Department of Neuroscience, Canadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB T1K 3M4 Canada"],"affiliations":[{"raw_affiliation_string":"Department of Neuroscience, Canadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB T1K 3M4 Canada","institution_ids":["https://openalex.org/I107949126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003609825","https://openalex.org/A5010403330","https://openalex.org/A5034290522"],"corresponding_institution_ids":["https://openalex.org/I107949126"],"apc_list":null,"apc_paid":null,"fwci":0.1531,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52811532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"26","issue":"10","first_page":"2247","last_page":"2293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.993399977684021,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.7504431009292603},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.6796427369117737},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.6323719620704651},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5862760543823242},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5715968012809753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5007917881011963},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4702398180961609},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.45082753896713257},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.44157448410987854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42596641182899475},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4105462431907654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33457648754119873},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2901933193206787},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2649112343788147},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2629976272583008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22424021363258362},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12622103095054626},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09339603781700134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08707860112190247}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7504431009292603},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.6796427369117737},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.6323719620704651},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5862760543823242},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5715968012809753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5007917881011963},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4702398180961609},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.45082753896713257},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.44157448410987854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42596641182899475},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4105462431907654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33457648754119873},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2901933193206787},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2649112343788147},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2629976272583008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22424021363258362},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12622103095054626},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09339603781700134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08707860112190247},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[{"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":"D002450","descriptor_name":"Cell Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002450","descriptor_name":"Cell Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002450","descriptor_name":"Cell Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D006801","descriptor_name":"Humans","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":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_00633","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00633","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:24922506","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24922506","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/F4320319907","display_name":"Alberta Innovates - Technology Futures","ror":"https://ror.org/00ynafe15"},{"id":"https://openalex.org/F4320319927","display_name":"Alberta Innovates - Health Solutions","ror":"https://ror.org/00ynafe15"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1570751785","https://openalex.org/W1573082642","https://openalex.org/W1945974928","https://openalex.org/W1975016784","https://openalex.org/W1985940938","https://openalex.org/W1990540817","https://openalex.org/W1991266025","https://openalex.org/W2010384478","https://openalex.org/W2014744085","https://openalex.org/W2019849436","https://openalex.org/W2032773159","https://openalex.org/W2033897489","https://openalex.org/W2047488554","https://openalex.org/W2055476548","https://openalex.org/W2079578251","https://openalex.org/W2081170324","https://openalex.org/W2087790185","https://openalex.org/W2093616568","https://openalex.org/W2094903960","https://openalex.org/W2097230740","https://openalex.org/W2099681619","https://openalex.org/W2100646696","https://openalex.org/W2103243650","https://openalex.org/W2111793473","https://openalex.org/W2116399098","https://openalex.org/W2117120818","https://openalex.org/W2120503473","https://openalex.org/W2124292936","https://openalex.org/W2130506326","https://openalex.org/W2142373488","https://openalex.org/W2146797675","https://openalex.org/W2147108779","https://openalex.org/W2147238273","https://openalex.org/W2151577040","https://openalex.org/W2151694082","https://openalex.org/W2157468128","https://openalex.org/W2163532659","https://openalex.org/W2164653071","https://openalex.org/W2164908099","https://openalex.org/W2166963621","https://openalex.org/W2168919237","https://openalex.org/W2170124105","https://openalex.org/W4247612853"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2942366970","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W4281997648"],"abstract_inverted_index":{"The":[0],"investigation":[1],"of":[2,30,52,67,73,103,122,128,131,151,172,181,213,235,245,253,268,271],"neural":[3],"interactions":[4,229],"is":[5,47],"crucial":[6],"for":[7,100,197,278],"understanding":[8],"information":[9,20],"processing":[10],"in":[11,39,79,185],"the":[12,28,31,42,50,65,71,76,88,92,113,123,129,132,137,149,175,179,182,193,203,211,233,243,248,260,266,269],"brain.":[13],"Recently":[14],"an":[15,279],"analysis":[16],"method":[17],"based":[18],"on":[19,75],"geometry":[21],"(IG)":[22],"has":[23,35],"gained":[24],"increased":[25,207],"attention,":[26],"and":[27,70,95,115,127,282],"property":[29,51],"pairwise":[32,116],"IG":[33,53,77,93,117,138,183,223,249,261,289],"measure":[34],"been":[36],"studied":[37],"extensively":[38],"relation":[40,186],"to":[41,84,142,166,187,192,208,227,293],"two-neuron":[43],"interaction.":[44],"However,":[45],"little":[46],"known":[48],"about":[49],"measures":[54,78,94,118,139,184,224,262,290],"involving":[55,140],"more":[56],"neuronal":[57,144],"interactions.":[58,86],"In":[59,238],"this":[60],"study,":[61],"we":[62,146,161,240],"systematically":[63],"investigated":[64,241],"influence":[66,150,212,234],"external":[68,96,152,188,214,236],"inputs":[69,97,153,189,215],"asymmetry":[72,246,270],"connections":[74],"cases":[80],"ranging":[81],"from":[82,225],"1-neuron":[83,226],"10-neuron":[85,228],"First,":[87],"analytical":[89,164,194],"relationship":[90],"between":[91],"was":[98,154,190,206],"derived":[99],"a":[101,170,198,254],"network":[102,171,204,256],"10":[104,143,173],"neurons":[105],"with":[106],"uniform":[107],"connections.":[108,168,272],"Our":[109,273],"results":[110,165,274],"confirmed":[111],"that":[112,148,178,221,258],"single":[114],"were":[119,263],"good":[120],"estimators":[121],"mean":[124],"background":[125],"input":[126],"sum":[130],"connection":[133],"weights,":[134],"respectively.":[135],"For":[136,169],"3":[141],"interactions,":[145],"found":[147],"highly":[155],"nonlinear.":[156],"Second,":[157],"by":[158],"computer":[159],"simulation,":[160],"extended":[162],"our":[163],"asymmetric":[167],"neurons,":[174,210],"simulation":[176,252],"showed":[177,257],"behavior":[180],"similar":[191],"solution":[195],"obtained":[196],"uniformly":[199],"connected":[200],"network.":[201],"When":[202],"size":[205],"1000":[209],"almost":[216],"disappeared.":[217],"This":[218],"result":[219],"suggests":[220],"all":[222,259],"are":[230,291],"robust":[231,264],"against":[232,265],"inputs.":[237],"addition,":[239],"how":[242],"strength":[244],"influenced":[247],"measures.":[250],"Computer":[251],"1000-neuron":[255],"modulation":[267],"provide":[275,284],"further":[276],"support":[277],"information-geometric":[280],"approach":[281],"will":[283],"useful":[285],"insights":[286],"when":[287],"these":[288],"applied":[292],"real":[294],"experimental":[295],"spike":[296],"data.":[297]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
