{"id":"https://openalex.org/W2124929340","doi":"https://doi.org/10.7551/978-0-262-31050-5-ch035","title":"Finding Optimal Random Boolean Networks for Reservoir Computing","display_name":"Finding Optimal Random Boolean Networks for Reservoir Computing","publication_year":2012,"publication_date":"2012-07-02","ids":{"openalex":"https://openalex.org/W2124929340","doi":"https://doi.org/10.7551/978-0-262-31050-5-ch035","mag":"2124929340"},"language":"en","primary_location":{"id":"doi:10.7551/978-0-262-31050-5-ch035","is_oa":false,"landing_page_url":"https://doi.org/10.7551/978-0-262-31050-5-ch035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Life 13","raw_type":"proceedings-article"},"type":"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/A5032196610","display_name":"David Snyder","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"David Snyder","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071471063","display_name":"Alireza Goudarzi","orcid":"https://orcid.org/0000-0003-2944-2681"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alireza Goudarzi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037611164","display_name":"Christof Teuscher","orcid":"https://orcid.org/0000-0002-5927-1900"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christof Teuscher","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032196610"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4421,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74073441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.7650724649429321},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.5964763164520264},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.5464786291122437},{"id":"https://openalex.org/keywords/boolean-network","display_name":"Boolean network","score":0.489065021276474},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45377877354621887},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3865612745285034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3318520188331604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23761531710624695},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23754122853279114},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.11504313349723816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650724649429321},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.5964763164520264},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.5464786291122437},{"id":"https://openalex.org/C134444547","wikidata":"https://www.wikidata.org/wiki/Q585230","display_name":"Boolean network","level":3,"score":0.489065021276474},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45377877354621887},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3865612745285034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3318520188331604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23761531710624695},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23754122853279114},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.11504313349723816}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.7551/978-0-262-31050-5-ch035","is_oa":false,"landing_page_url":"https://doi.org/10.7551/978-0-262-31050-5-ch035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Life 13","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.401.5188","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.5188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mitpress.mit.edu/sites/default/files/titles/content/alife13/978-0-262-31050-5-ch035.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1919767399","https://openalex.org/W1971124708","https://openalex.org/W1971224531","https://openalex.org/W2010623608","https://openalex.org/W2067325641","https://openalex.org/W2102019174","https://openalex.org/W2103179919","https://openalex.org/W2160550321","https://openalex.org/W2169747954","https://openalex.org/W2171865010","https://openalex.org/W2285510289"],"related_works":["https://openalex.org/W2075126249","https://openalex.org/W2918709778","https://openalex.org/W2105128170","https://openalex.org/W1991822629","https://openalex.org/W3141532631","https://openalex.org/W1975961967","https://openalex.org/W1979056074","https://openalex.org/W52722086","https://openalex.org/W2558644562","https://openalex.org/W1567571871"],"abstract_inverted_index":{"Reservoir":[0],"Computing":[1],"(RC)":[2],"is":[3,23,31],"a":[4,9,17,20,40,88,159,170,179],"computational":[5,84],"model":[6],"in":[7,38,158],"which":[8,39],"trained":[10],"readout":[11],"layer":[12],"interprets":[13],"the":[14,79,83,92,97,103,124,130,133,145,163,167,175,195],"dynamics":[15,105],"of":[16,86,106,127,137,149,197],"component":[18],"called":[19],"reservoir":[21,30],"that":[22,123,157],"excited":[24],"by":[25,118],"external":[26],"input":[27],"stimuli.":[28],"The":[29],"often":[32],"constructed":[33],"using":[34,91,108],"homogeneous":[35],"neural":[36],"networks":[37],"neuron\u2019s":[41],"in-degree":[42],"distributions":[43],"as":[44,46],"well":[45],"its":[47],"functions":[48],"are":[49,65],"uniform.":[50],"RC":[51,89,161],"lends":[52],"itself":[53],"to":[54,77,194],"computing":[55,205],"with":[56,139,151,184],"physical":[57],"and":[58,96,111,144,174,203],"biological":[59],"systems.":[60],"However,":[61],"most":[62],"such":[63,87],"systems":[64],"not":[66],"homogeneous.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"use":[72],"Random":[73],"Boolean":[74],"Networks":[75],"(RBN)":[76],"build":[78],"reservoir.":[80],"We":[81,101,115,155],"explore":[82],"capabilities":[85],"device":[90],"temporal":[93,98],"parity":[94,168],"task":[95],"density":[99,176],"classification.":[100],"study":[102],"sufficient":[104],"RBNs":[107,128,138,150],"kernel":[109],"quality":[110],"generalization":[112],"rank":[113],"measures.":[114],"verify":[116],"findings":[117,191],"Lizier":[119,185],"et":[120,186],"al.":[121],"(2008)":[122],"critical":[125],"connectivity":[126,165],"optimizes":[129],"balance":[131],"between":[132],"high":[134],"memory":[135,180],"capacity":[136],"\u2329K":[140,152],"\u232a":[141],"<":[142],"2":[143],"higher":[146],"information":[147],"processing":[148,171],"\u232a>":[153],"2.":[154],"show":[156],"RBN-based":[160],"system,":[162],"optimal":[164,198],"for":[166],"task,":[169,173,178,182],"intensive":[172,181],"classification":[177],"agree":[183],"al.\u2019s":[187],"theoretical":[188],"results.":[189],"Our":[190],"may":[192],"contribute":[193],"development":[196],"selfassembled":[199],"nanoelectronic":[200],"computer":[201],"architectures":[202],"biologically-inspired":[204],"paradigms.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}