{"id":"https://openalex.org/W4312493334","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892248","title":"Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure","display_name":"Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312493334","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892248"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892248","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"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/A5059086848","display_name":"Sean McDaniel","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"funder","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean L. McDaniel","raw_affiliation_strings":["Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA"],"affiliations":[{"raw_affiliation_string":"Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066991784","display_name":"Marisel Villafa\u00f1e-Delgado","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"funder","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marisel Villafane-Delgado","raw_affiliation_strings":["Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA"],"affiliations":[{"raw_affiliation_string":"Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037437190","display_name":"Erik C. Johnson","orcid":"https://orcid.org/0000-0002-7397-8531"},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"funder","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik C. Johnson","raw_affiliation_strings":["Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA"],"affiliations":[{"raw_affiliation_string":"Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA","institution_ids":["https://openalex.org/I2802946424"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.145,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.290801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":59,"max":69},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"08"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9999,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9999,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9986,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9979,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.8237424},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.7822224},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7529391}],"concepts":[{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.8603058},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.8237424},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.7822224},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7529391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901901},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5195516},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5003245},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.47020894},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.42769128},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42370647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41883853},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38678178},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30923638},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20175806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12768632},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892248","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320310145","funder_display_name":"Johns Hopkins University","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":31,"referenced_works":["https://openalex.org/W1513082520","https://openalex.org/W1989312953","https://openalex.org/W2007339694","https://openalex.org/W2024729467","https://openalex.org/W2026100293","https://openalex.org/W2036202071","https://openalex.org/W2036451492","https://openalex.org/W2094631910","https://openalex.org/W2124953625","https://openalex.org/W2142029338","https://openalex.org/W2150354929","https://openalex.org/W2161515775","https://openalex.org/W2177933918","https://openalex.org/W2511999769","https://openalex.org/W2888573301","https://openalex.org/W2908731397","https://openalex.org/W2964214140","https://openalex.org/W2967225774","https://openalex.org/W2972418225","https://openalex.org/W3007736625","https://openalex.org/W3081383310","https://openalex.org/W3092940722","https://openalex.org/W3094284548","https://openalex.org/W3105603957","https://openalex.org/W3170914969","https://openalex.org/W3174465650","https://openalex.org/W3187047613","https://openalex.org/W3190634970","https://openalex.org/W4235571646","https://openalex.org/W4295312788","https://openalex.org/W48447644"],"related_works":["https://openalex.org/W57315087","https://openalex.org/W4386848428","https://openalex.org/W4292972806","https://openalex.org/W4205631599","https://openalex.org/W3097621351","https://openalex.org/W2967225774","https://openalex.org/W2734849756","https://openalex.org/W2021379535","https://openalex.org/W2020067398","https://openalex.org/W2010974764"],"abstract_inverted_index":{"The":[0,205],"nervous":[1],"systems":[2],"of":[3,71,108,120,163,197,208,251],"animals":[4],"exhibit":[5],"complex":[6,21],"recurrent":[7,43,50,72,82],"topologies.":[8,92,138],"These":[9],"networks":[10,41,145,254],"often":[11],"show":[12,223],"key":[13],"properties":[14,250],"like":[15],"small-worldness":[16],"and":[17,128,180,221],"clustering,":[18],"forming":[19],"a":[20,95,101],"hierarchical":[22,102,112],"topology":[23],"that":[24,141,224],"is":[25,165],"very":[26],"different":[27],"from":[28,176,188],"many":[29],"standard":[30],"random":[31],"graphs.":[32],"Current":[33],"machine":[34],"learning":[35],"techniques":[36],"are":[37],"dominated":[38],"by":[39,106],"feed-forward":[40],"without":[42],"connectivity,":[44],"or":[45],"specialized":[46],"architectures":[47],"for":[48,123,151,181,244],"gated":[49],"connectivity":[51],"(such":[52],"as":[53,62,155,157,229,231],"Long-Short":[54],"Term":[55],"Memory":[56],"Networks).":[57],"Reservoir":[58],"computing":[59,98],"networks,":[60,65,73,86,110],"such":[61],"echo":[63,135,218],"state":[64,85,136,219],"represent":[66],"an":[67],"exciting":[68],"alternative":[69],"form":[70],"which":[74],"require":[75],"limited":[76],"training":[77],"data":[78],"compared":[79],"to":[80,133,178,190],"other":[81],"networks.":[83,241],"Echo":[84],"however,":[87],"typically":[88],"use":[89,119],"randomized":[90],"network":[91,103,122,132,137,199,203],"We":[93,116,139],"introduce":[94],"novel":[96],"reservoir":[97,256],"network,":[99],"with":[100],"structure":[104],"inspired":[105],"organization":[107],"biological":[109],"utilizing":[111,255],"stochastic":[113],"block":[114],"models.":[115],"demonstrate":[117],"the":[118,142,160,168,171,183,209,217,226,238,248],"this":[121,131],"predicting":[124],"dynamic":[125],"system":[126,153],"evolution,":[127],"we":[129,222],"compare":[130],"existing":[134],"find":[140],"best":[143,239],"performing":[144,240,253],"utilize":[146],"our":[147],"new":[148],"topology,":[149],"and,":[150],"Mackey-Glass":[152,169],"prediction":[154],"well":[156,230],"MNIST":[158,182],"classification,":[159],"overall":[161],"distribution":[162],"solutions":[164],"improved.":[166],"For":[167],"system,":[170],"median":[172,184],"population":[173,185],"NRMSE":[174],"improved":[175],"0.856":[177],"0.08,":[179],"accuracy":[186],"increased":[187],"92.5%":[189],"96.8%.":[191],"This":[192,242],"may":[193],"be":[194],"preliminary":[195],"indication":[196],"improving":[198],"function":[200],"through":[201],"changing":[202],"topology.":[204],"spectral":[206,227],"radii":[207],"produced":[210],"HSBM":[211],"topologies":[212],"do":[213,235],"not":[214,236],"always":[215],"obey":[216],"property,":[220],"both":[225],"radius":[228],"common":[232],"graph":[233],"metrics":[234],"predict":[237],"argues":[243],"further":[245],"investigation":[246],"into":[247],"structural":[249],"high":[252],"computing.":[257]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4312493334","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-04-24T08:50:48.236089","created_date":"2023-01-05"}