{"id":"https://openalex.org/W2552542682","doi":"https://doi.org/10.1109/ijcnn.2016.7727325","title":"Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control","display_name":"Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2552542682","doi":"https://doi.org/10.1109/ijcnn.2016.7727325","mag":"2552542682"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10026.1/10536","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052208303","display_name":"Ricardo de Azambuja","orcid":"https://orcid.org/0000-0003-0185-545X"},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"R. de Azambuja","raw_affiliation_strings":["Electronics and Mathematics, University of Plymouth, Plymouth, Devon, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Electronics and Mathematics, University of Plymouth, Plymouth, Devon, United Kingdom","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091768977","display_name":"Angelo Cangelosi","orcid":"https://orcid.org/0000-0002-4709-2243"},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Cangelosi","raw_affiliation_strings":["Electronics and Mathematics, University of Plymouth, Plymouth, Devon, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Electronics and Mathematics, University of Plymouth, Plymouth, Devon, United Kingdom","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032755340","display_name":"Samantha V. Adams","orcid":"https://orcid.org/0000-0003-3031-4855"},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. V. Adams","raw_affiliation_strings":["Electronics and Mathematics, University of Plymouth, Plymouth, Devon, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Electronics and Mathematics, University of Plymouth, Plymouth, Devon, United Kingdom","institution_ids":["https://openalex.org/I897542642"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052208303"],"corresponding_institution_ids":["https://openalex.org/I897542642"],"apc_list":null,"apc_paid":null,"fwci":3.9756,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9458256,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"408","issue":null,"first_page":"1134","last_page":"1142"},"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":0.9997000098228455,"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":0.9984999895095825,"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":0.7699837684631348},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7183436155319214},{"id":"https://openalex.org/keywords/desk","display_name":"Desk","score":0.6948632597923279},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6254832148551941},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.6005336046218872},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5945471525192261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5761567950248718},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.5333521366119385},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.35553210973739624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699837684631348},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7183436155319214},{"id":"https://openalex.org/C2776545233","wikidata":"https://www.wikidata.org/wiki/Q1064858","display_name":"Desk","level":2,"score":0.6948632597923279},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6254832148551941},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.6005336046218872},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5945471525192261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5761567950248718},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.5333521366119385},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.35553210973739624},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/687e53dd-5907-4190-b945-97e8d572a297","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/687e53dd-5907-4190-b945-97e8d572a297","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Azambuja, R D, Cangelosi, A & Adams, S V 2016, 'Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control : 2016 International Joint Conference on Neural Networks (IJCNN)', pp. 1134-1142. https://doi.org/10.1109/IJCNN.2016.7727325","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pearl.plymouth.ac.uk:10026.1/10536","is_oa":true,"landing_page_url":"http://hdl.handle.net/10026.1/10536","pdf_url":"http://hdl.handle.net/10026.1/10536","source":{"id":"https://openalex.org/S4306402507","display_name":"PEARL (University of Plymouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I897542642","host_organization_name":"University of Plymouth","host_organization_lineage":["https://openalex.org/I897542642"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference"}],"best_oa_location":{"id":"pmh:oai:pearl.plymouth.ac.uk:10026.1/10536","is_oa":true,"landing_page_url":"http://hdl.handle.net/10026.1/10536","pdf_url":"http://hdl.handle.net/10026.1/10536","source":{"id":"https://openalex.org/S4306402507","display_name":"PEARL (University of Plymouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I897542642","host_organization_name":"University of Plymouth","host_organization_lineage":["https://openalex.org/I897542642"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2552542682.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W620953717","https://openalex.org/W1490778550","https://openalex.org/W1543237449","https://openalex.org/W1885639605","https://openalex.org/W1968832734","https://openalex.org/W1973613062","https://openalex.org/W1979426401","https://openalex.org/W1987533727","https://openalex.org/W2003613456","https://openalex.org/W2004383590","https://openalex.org/W2008788342","https://openalex.org/W2025054170","https://openalex.org/W2035408474","https://openalex.org/W2040739363","https://openalex.org/W2061939373","https://openalex.org/W2076015009","https://openalex.org/W2082511574","https://openalex.org/W2101234009","https://openalex.org/W2103179919","https://openalex.org/W2106843705","https://openalex.org/W2108157381","https://openalex.org/W2128160875","https://openalex.org/W2137782470","https://openalex.org/W2153041354","https://openalex.org/W2155571773","https://openalex.org/W2217616402","https://openalex.org/W2240451618","https://openalex.org/W2247522248","https://openalex.org/W2532412200","https://openalex.org/W4233071312","https://openalex.org/W4238614602","https://openalex.org/W4253902524","https://openalex.org/W6675354045","https://openalex.org/W6691142552"],"related_works":["https://openalex.org/W3192662224","https://openalex.org/W2998821156","https://openalex.org/W4389072666","https://openalex.org/W2887258823","https://openalex.org/W4300888463","https://openalex.org/W4226454644","https://openalex.org/W2745063183","https://openalex.org/W4237814686","https://openalex.org/W2903992663","https://openalex.org/W2997427060"],"abstract_inverted_index":{"How":[0],"exactly":[1],"our":[2,85,127,133],"brain":[3],"works":[4],"is":[5],"still":[6],"an":[7],"open":[8],"question,":[9],"but":[10],"one":[11],"thing":[12],"seems":[13],"to":[14,91,123,138,142],"be":[15],"clear:":[16],"biological":[17],"neural":[18],"systems":[19],"are":[20],"computationally":[21],"powerful,":[22],"robust":[23],"and":[24,51,73,79],"noisy.":[25],"Using":[26],"the":[27,62,68,77,110,113,140,144,150],"Reservoir":[28],"Computing":[29],"paradigm":[30],"based":[31],"on":[32,97],"Spiking":[33],"Neural":[34],"Networks,":[35],"also":[36],"known":[37],"as":[38],"Liquid":[39],"State":[40],"Machines,":[41],"we":[42,75],"present":[43],"results":[44,131],"from":[45],"a":[46,100,103,120],"novel":[47],"approach":[48,135],"where":[49],"diverse":[50],"noisy":[52],"parallel":[53,111,134],"reservoirs,":[54],"totalling":[55],"3,000":[56],"modelled":[57],"neurons,":[58],"work":[59],"together":[60],"receiving":[61],"same":[63,114],"averaged":[64],"feedback.":[65],"Inspired":[66],"by":[67],"ideas":[69],"of":[70,99,105],"action":[71],"learning":[72],"embodiment":[74],"use":[76],"safe":[78],"flexible":[80],"industrial":[81],"robot":[82,88],"BAXTER":[83,137],"in":[84,119],"experiments.":[86],"The":[87,130],"was":[89,117],"taught":[90],"draw":[92,143],"three":[93],"different":[94],"2D":[95],"shapes":[96,146],"top":[98],"desk":[101],"using":[102],"total":[104],"four":[106],"joints.":[107],"Together":[108],"with":[109,126],"approach,":[112],"basic":[115],"system":[116],"implemented":[118],"serial":[121,152],"way":[122],"compare":[124],"it":[125],"new":[128],"method.":[129],"show":[132],"enables":[136],"produce":[139],"trajectories":[141],"learned":[145],"more":[147],"accurately":[148],"than":[149],"traditional":[151],"one.":[153]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
