{"id":"https://openalex.org/W2972325935","doi":"https://doi.org/10.1145/3354265.3354284","title":"A Segmented Attractor Network for Neuromorphic Associative Learning","display_name":"A Segmented Attractor Network for Neuromorphic Associative Learning","publication_year":2019,"publication_date":"2019-07-23","ids":{"openalex":"https://openalex.org/W2972325935","doi":"https://doi.org/10.1145/3354265.3354284","mag":"2972325935"},"language":"en","primary_location":{"id":"doi:10.1145/3354265.3354284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3354265.3354284","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3354265.3354284","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3354265.3354284","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026639478","display_name":"Alexander Jones","orcid":"https://orcid.org/0000-0002-1680-8173"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Jones","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046869634","display_name":"Rashmi Jha","orcid":"https://orcid.org/0000-0002-2656-5945"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rashmi Jha","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022273882","display_name":"Ajey P. Jacob","orcid":"https://orcid.org/0000-0002-9830-0604"},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajey P. Jacob","raw_affiliation_strings":["Differentiating Technology Research Group, GLOBALFOUNDRIES, Malta, NY, USA"],"affiliations":[{"raw_affiliation_string":"Differentiating Technology Research Group, GLOBALFOUNDRIES, Malta, NY, USA","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079020868","display_name":"Cory Merkel","orcid":"https://orcid.org/0000-0003-0252-7829"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cory Merkel","raw_affiliation_strings":["Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026639478"],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":0.289,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66997671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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":0.998199999332428,"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":0.9961000084877014,"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/attractor","display_name":"Attractor","score":0.8705015182495117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7003571391105652},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6720601916313171},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.626203179359436},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.5992277264595032},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.49187588691711426},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4911756217479706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4719081521034241},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.45089343190193176},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4184669256210327},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.4174797534942627},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4030162990093231},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40201425552368164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16624340415000916}],"concepts":[{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.8705015182495117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7003571391105652},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6720601916313171},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.626203179359436},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.5992277264595032},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.49187588691711426},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4911756217479706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4719081521034241},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.45089343190193176},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4184669256210327},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.4174797534942627},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4030162990093231},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40201425552368164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16624340415000916},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3354265.3354284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3354265.3354284","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3354265.3354284","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3354265.3354284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3354265.3354284","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3354265.3354284","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3906339420","display_name":"SHF:Small: Collaborative Research: Exploring 3-Dimensional Integration Strategies of STTRAM","funder_award_id":"1718428","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G430741622","display_name":null,"funder_award_id":"ECCS 1156294, SHF-1718428","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7977893637","display_name":null,"funder_award_id":"SHF-1718428","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972325935.pdf","grobid_xml":"https://content.openalex.org/works/W2972325935.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1514384156","https://openalex.org/W1528140509","https://openalex.org/W1884390770","https://openalex.org/W2008675881","https://openalex.org/W2010876761","https://openalex.org/W2041341436","https://openalex.org/W2076717401","https://openalex.org/W2080531309","https://openalex.org/W2081961955","https://openalex.org/W2082622165","https://openalex.org/W2128084896","https://openalex.org/W2154191582","https://openalex.org/W2584547434","https://openalex.org/W2963301902","https://openalex.org/W4289420954","https://openalex.org/W6670348015"],"related_works":["https://openalex.org/W1989420504","https://openalex.org/W2125477157","https://openalex.org/W4321273133","https://openalex.org/W3103704822","https://openalex.org/W2093404141","https://openalex.org/W2109692706","https://openalex.org/W2771357549","https://openalex.org/W2050720944","https://openalex.org/W2041845676","https://openalex.org/W2158622082"],"abstract_inverted_index":{"This":[0],"work":[1],"describes":[2],"a":[3,83,107],"segmented":[4],"attractor":[5,17,29,114],"network":[6,30,104],"that":[7,19],"records":[8],"memories":[9,66],"across":[10,35],"different":[11],"sets":[12,37],"of":[13,65,72,81],"information.":[14],"Unlike":[15],"typical":[16],"networks":[18],"can":[20,85],"associate":[21],"any":[22],"given":[23],"inputs":[24],"with":[25],"one":[26,42],"another,":[27],"the":[28,51,60,63,68,70,79,97,103],"presented":[31],"here":[32],"tracks":[33],"information":[34,73],"multiple":[36],"where":[38],"each":[39],"set":[40,100],"possesses":[41],"or":[43],"more":[44],"features.":[45],"Hyperparameter":[46],"analysis":[47,88],"is":[48],"performed":[49],"on":[50],"network's":[52,61],"recall":[53],"capability":[54],"by":[55],"altering":[56],"factors":[57],"such":[58],"as":[59],"size,":[62],"number":[64],"within":[67],"network,":[69],"amount":[71,80],"required":[74],"to":[75,105],"perform":[76],"recall,":[77],"and":[78,101],"feedback":[82],"synapse":[84],"provide.":[86],"The":[87],"done":[89],"shows":[90],"an":[91],"improved":[92],"hit":[93],"rate":[94],"when":[95],"increasing":[96],"features":[98],"per":[99],"allows":[102],"obtain":[106],"memory":[108],"capacity":[109],"higher":[110],"than":[111],"other":[112],"standard":[113],"networks.":[115]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
