{"id":"https://openalex.org/W2756710100","doi":"https://doi.org/10.1109/mwscas.2017.8053115","title":"On-device STDP and synaptic normalization for neuromemristive spiking neural network","display_name":"On-device STDP and synaptic normalization for neuromemristive spiking neural network","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2756710100","doi":"https://doi.org/10.1109/mwscas.2017.8053115","mag":"2756710100"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2017.8053115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2017.8053115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5035204202","display_name":"Nicholas Soures","orcid":"https://orcid.org/0000-0001-8126-7396"},"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":true,"raw_author_name":"Nicholas Soures","raw_affiliation_strings":["NanoComputing Research Lab, Rochester Institute of Technology"],"affiliations":[{"raw_affiliation_string":"NanoComputing Research Lab, Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032924545","display_name":"Lydia Hays","orcid":null},"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":"Lydia Hays","raw_affiliation_strings":["NanoComputing Research Lab, Rochester Institute of Technology"],"affiliations":[{"raw_affiliation_string":"NanoComputing Research Lab, Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079231943","display_name":"Eric Bohannon","orcid":null},"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":"Eric Bohannon","raw_affiliation_strings":["NanoComputing Research Lab, Rochester Institute of Technology"],"affiliations":[{"raw_affiliation_string":"NanoComputing Research Lab, Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057735813","display_name":"Abdullah M. Zyarah","orcid":"https://orcid.org/0000-0001-8220-5285"},"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":"Abdullah M. Zyarah","raw_affiliation_strings":["NanoComputing Research Lab, Rochester Institute of Technology"],"affiliations":[{"raw_affiliation_string":"NanoComputing Research Lab, Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067236813","display_name":"Dhireesha Kudithipudi","orcid":"https://orcid.org/0000-0003-4462-5224"},"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":"Dhireesha Kudithipudi","raw_affiliation_strings":["NanoComputing Research Lab, Rochester Institute of Technology"],"affiliations":[{"raw_affiliation_string":"NanoComputing Research Lab, Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035204202"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.437,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66093642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1081","last_page":"1084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":0.9980000257492065,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7854498624801636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487959861755371},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6293822526931763},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.6055330038070679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5804544687271118},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.5554893612861633},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5114094614982605},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5019941329956055},{"id":"https://openalex.org/keywords/postsynaptic-potential","display_name":"Postsynaptic potential","score":0.49542200565338135},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.48049938678741455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39171701669692993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35613739490509033},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06742477416992188}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7854498624801636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487959861755371},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6293822526931763},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.6055330038070679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5804544687271118},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.5554893612861633},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5114094614982605},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5019941329956055},{"id":"https://openalex.org/C197341189","wikidata":"https://www.wikidata.org/wiki/Q863533","display_name":"Postsynaptic potential","level":3,"score":0.49542200565338135},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.48049938678741455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39171701669692993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35613739490509033},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06742477416992188},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas.2017.8053115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2017.8053115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6700000166893005,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W101771737","https://openalex.org/W1486852018","https://openalex.org/W1570411240","https://openalex.org/W1975398991","https://openalex.org/W1995103718","https://openalex.org/W2006370340","https://openalex.org/W2024985648","https://openalex.org/W2045614943","https://openalex.org/W2080333131","https://openalex.org/W2096473662","https://openalex.org/W2107731759","https://openalex.org/W2131763976","https://openalex.org/W2237922334","https://openalex.org/W2520854767","https://openalex.org/W2735009728","https://openalex.org/W2760063502","https://openalex.org/W6726592036"],"related_works":["https://openalex.org/W2944910788","https://openalex.org/W2998073245","https://openalex.org/W2794685907","https://openalex.org/W3007981140","https://openalex.org/W3126544799","https://openalex.org/W2736237086","https://openalex.org/W2942803402","https://openalex.org/W4283688984","https://openalex.org/W3201928939","https://openalex.org/W4283692267"],"abstract_inverted_index":{"Spiking":[0],"Neural":[1],"Networks":[2],"offer":[3],"low":[4,9],"precision":[5],"communication,":[6],"robustness,":[7],"and":[8,12,39,47,74,96],"power":[10],"consumption":[11],"are":[13],"attractive":[14],"for":[15,25,81],"autonomous":[16],"applications.":[17],"One":[18],"of":[19,90],"the":[20,37,45,79,88],"well":[21],"accepted":[22],"learning":[23,52],"rules":[24],"these":[26,51],"networks":[27],"is":[28,34,56],"spike":[29,41],"time":[30],"dependent":[31],"plasticity":[32,46,80],"which":[33],"governed":[35],"by":[36],"pre-":[38],"postsynaptic":[40],"timings.":[42],"To":[43],"stabilize":[44],"avoid":[48],"saturation":[49],"in":[50,70,93],"rules,":[53],"synaptic":[54,68,91],"normalization":[55,69,92],"used.":[57],"In":[58],"this":[59],"work,":[60],"we":[61],"propose":[62],"a":[63,71],"circuit":[64],"to":[65],"efficiently":[66],"realize":[67],"neuromemristive":[72],"system":[73],"show":[75],"how":[76],"it":[77],"improves":[78],"unsupervised":[82],"on-device":[83],"learning.":[84],"High-level":[85],"modeling":[86],"shows":[87],"efficacy":[89],"pattern":[94],"recognition":[95],"feature":[97],"extraction.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
