{"id":"https://openalex.org/W4391382155","doi":"https://doi.org/10.1109/mwscas57524.2023.10406014","title":"Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems","display_name":"Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems","publication_year":2023,"publication_date":"2023-08-06","ids":{"openalex":"https://openalex.org/W4391382155","doi":"https://doi.org/10.1109/mwscas57524.2023.10406014"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas57524.2023.10406014","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mwscas57524.2023.10406014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 66th 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/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":true,"raw_author_name":"Cory Merkel","raw_affiliation_strings":["Rochester Institute of Technology,Brain Lab,Rochester,NY,USA","Brain Lab, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Brain Lab,Rochester,NY,USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Brain Lab, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079020868"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.1337,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48527616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"748","last_page":"752"},"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":0.9991999864578247,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9547631144523621},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6917684674263},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.664918839931488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486652493476868},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.6038950681686401},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4919133186340332},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4813128709793091},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4286523759365082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3559976816177368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30531811714172363},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15517720580101013},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13451486825942993},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12377980351448059},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.117237389087677}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9547631144523621},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6917684674263},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.664918839931488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486652493476868},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.6038950681686401},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4919133186340332},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4813128709793091},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4286523759365082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3559976816177368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30531811714172363},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15517720580101013},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13451486825942993},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12377980351448059},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.117237389087677},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas57524.2023.10406014","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mwscas57524.2023.10406014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 66th 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":0.8399999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2083252150","https://openalex.org/W2560615381","https://openalex.org/W2803914619","https://openalex.org/W2910128286","https://openalex.org/W2925208841","https://openalex.org/W2990793844","https://openalex.org/W3122723033","https://openalex.org/W3212548298","https://openalex.org/W4210530781","https://openalex.org/W6741753902"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4387251107","https://openalex.org/W4214914769","https://openalex.org/W4283271085","https://openalex.org/W4317717548"],"abstract_inverted_index":{"Recent":[0],"animal":[1],"studies":[2],"have":[3],"shown":[4],"that":[5,56],"biological":[6],"brains":[7],"can":[8,62,101],"enter":[9],"a":[10,29,78],"low":[11],"power":[12,36,65,99],"mode":[13],"in":[14,70],"times":[15],"of":[16,24,32,44,59,72],"food":[17],"scarcity.":[18],"This":[19],"paper":[20],"explores":[21],"the":[22,42,73],"possibility":[23],"applying":[25],"similar":[26],"mechanisms":[27],"to":[28,90],"broad":[30],"class":[31],"neuromorphic":[33,92],"systems":[34,93],"where":[35,98],"consumption":[37,66,100],"is":[38],"strongly":[39],"dependent":[40],"on":[41,82,106],"magnitude":[43],"synaptic":[45,60],"weights.":[46],"In":[47],"particular,":[48],"we":[49],"show":[50],"through":[51],"mathematical":[52],"models":[53],"and":[54,109],"simulations":[55],"careful":[57],"scaling":[58],"weights":[61],"significantly":[63],"reduce":[64],"(by":[67],"over":[68],"80%":[69],"some":[71],"cases":[74],"tested)":[75],"while":[76],"having":[77],"relatively":[79],"small":[80],"impact":[81],"accuracy.":[83],"These":[84],"results":[85],"uncover":[86],"an":[87],"exciting":[88],"opportunity":[89],"design":[91],"for":[94],"edge":[95],"AI":[96],"applications,":[97],"be":[102],"dynamically":[103],"adjusted":[104],"based":[105],"energy":[107],"availability":[108],"performance":[110],"requirements.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
