{"id":"https://openalex.org/W2767020560","doi":"https://doi.org/10.1145/3123939.3123943","title":"Using branch predictors to predict brain activity in brain-machine implants","display_name":"Using branch predictors to predict brain activity in brain-machine implants","publication_year":2017,"publication_date":"2017-10-14","ids":{"openalex":"https://openalex.org/W2767020560","doi":"https://doi.org/10.1145/3123939.3123943","mag":"2767020560"},"language":"en","primary_location":{"id":"doi:10.1145/3123939.3123943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123939.3123943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019487275","display_name":"Abhishek Bhattacharjee","orcid":"https://orcid.org/0000-0003-2742-2679"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]},{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL","US"],"is_corresponding":true,"raw_author_name":"Abhishek Bhattacharjee","raw_affiliation_strings":["Rutgers University and Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University and Princeton University","institution_ids":["https://openalex.org/I102322142","https://openalex.org/I20089843","https://openalex.org/I4210096112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019487275"],"corresponding_institution_ids":["https://openalex.org/I102322142","https://openalex.org/I20089843","https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"422"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.6296463012695312},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.61480712890625},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.579505443572998},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5748730897903442},{"id":"https://openalex.org/keywords/branch-predictor","display_name":"Branch predictor","score":0.5325720906257629},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5258092284202576},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5197820067405701},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5197303295135498},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49009525775909424},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4655728042125702},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.4437386095523834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3283916711807251},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.22862422466278076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2181108593940735},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1902013123035431},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.15643030405044556},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13958638906478882},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13915351033210754},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.13274899125099182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11396932601928711},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09383484721183777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296463012695312},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.61480712890625},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.579505443572998},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5748730897903442},{"id":"https://openalex.org/C168522837","wikidata":"https://www.wikidata.org/wiki/Q679552","display_name":"Branch predictor","level":2,"score":0.5325720906257629},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5258092284202576},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5197820067405701},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5197303295135498},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49009525775909424},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4655728042125702},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.4437386095523834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3283916711807251},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.22862422466278076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2181108593940735},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1902013123035431},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.15643030405044556},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13958638906478882},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13915351033210754},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.13274899125099182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11396932601928711},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09383484721183777},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3123939.3123943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123939.3123943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G7204673768","display_name":"SHF: Small: Taming the Combinatorial Explosion of Power Management for Future Manycore Systems","funder_award_id":"1319755","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1482432820","https://openalex.org/W1963560066","https://openalex.org/W1967106621","https://openalex.org/W1972879677","https://openalex.org/W1977083402","https://openalex.org/W1979979548","https://openalex.org/W1980006923","https://openalex.org/W1981509416","https://openalex.org/W1982268347","https://openalex.org/W1999201911","https://openalex.org/W2000967104","https://openalex.org/W2009411324","https://openalex.org/W2021417436","https://openalex.org/W2025106479","https://openalex.org/W2025796694","https://openalex.org/W2028388287","https://openalex.org/W2041664888","https://openalex.org/W2046191029","https://openalex.org/W2048266589","https://openalex.org/W2055125236","https://openalex.org/W2071928848","https://openalex.org/W2081379617","https://openalex.org/W2087185095","https://openalex.org/W2087660090","https://openalex.org/W2091811688","https://openalex.org/W2098395496","https://openalex.org/W2100346277","https://openalex.org/W2103014813","https://openalex.org/W2104753817","https://openalex.org/W2104777817","https://openalex.org/W2104822838","https://openalex.org/W2109492604","https://openalex.org/W2110860124","https://openalex.org/W2110999878","https://openalex.org/W2113853842","https://openalex.org/W2116792704","https://openalex.org/W2117413240","https://openalex.org/W2121067468","https://openalex.org/W2122563027","https://openalex.org/W2126144964","https://openalex.org/W2127748654","https://openalex.org/W2129445095","https://openalex.org/W2134872659","https://openalex.org/W2149051149","https://openalex.org/W2149172130","https://openalex.org/W2155702343","https://openalex.org/W2156484396","https://openalex.org/W2156619090","https://openalex.org/W2167074630","https://openalex.org/W2167716931","https://openalex.org/W2170382128","https://openalex.org/W2171136974","https://openalex.org/W2205589365","https://openalex.org/W2289252105","https://openalex.org/W2427561887","https://openalex.org/W2464177207","https://openalex.org/W2524401663","https://openalex.org/W2535431417","https://openalex.org/W2561209771","https://openalex.org/W2565305208","https://openalex.org/W2572260906","https://openalex.org/W2593084587","https://openalex.org/W2598879311","https://openalex.org/W3010915108","https://openalex.org/W3024621361","https://openalex.org/W4234908104","https://openalex.org/W4241648310","https://openalex.org/W4246842159","https://openalex.org/W4247445392","https://openalex.org/W4249932213"],"related_works":["https://openalex.org/W2156484396","https://openalex.org/W901399876","https://openalex.org/W2086201222","https://openalex.org/W1986441791","https://openalex.org/W134620092","https://openalex.org/W150428097","https://openalex.org/W1588917469","https://openalex.org/W2188245500","https://openalex.org/W2146473982","https://openalex.org/W2524028122"],"abstract_inverted_index":{"A":[0],"key":[1],"problem":[2],"with":[3,118],"implantable":[4],"brain-machine":[5],"interfaces":[6],"is":[7,20,46],"that":[8,51,76,110],"they":[9],"need":[10],"extreme":[11],"energy":[12,18],"efficiency.":[13],"One":[14],"way":[15],"of":[16,44,97,146],"lowering":[17],"consumption":[19],"to":[21,39,48,101,129,132],"use":[22],"the":[23,29,52,95,106],"low":[24,67,135],"power":[25,68,136],"modes":[26,69],"available":[27],"on":[28,88],"processors":[30],"embedded":[31],"in":[32,66,105],"these":[33],"devices.":[34],"We":[35,84,108],"present":[36],"a":[37],"technique":[38],"predict":[40,81,102,115],"when":[41,131],"neuronal":[42,103],"activity":[43,104,117],"interest":[45],"likely":[47],"occur":[49],"so":[50],"processor":[53,147],"can":[54,79,114],"run":[55],"at":[56,60],"nominal":[57],"operating":[58,139],"frequency":[59],"those":[61],"times,":[62],"and":[63,90,93,137],"be":[64],"placed":[65],"otherwise.":[70],"To":[71],"achieve":[72],"this,":[73],"we":[74,125],"discover":[75],"branch":[77,99,112,127],"predictors":[78,100,113,128],"also":[80],"brain":[82,86],"activity.":[83],"perform":[85],"surgeries":[87],"awake":[89],"anesthetized":[91],"mice,":[92],"evaluate":[94],"ability":[96],"several":[98],"cerebellum.":[107],"find":[109],"perceptron":[111],"cerebellar":[116],"accuracies":[119],"as":[120,122,142,144],"high":[121],"85%.":[123],"Consequently,":[124],"co-opt":[126],"dictate":[130],"transition":[133],"between":[134],"normal":[138],"modes,":[140],"saving":[141],"much":[143],"59%":[145],"energy.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}