{"id":"https://openalex.org/W2736149515","doi":"https://doi.org/10.1109/ijcnn.2017.7966353","title":"A power-efficient biomimetic intra-branch dendritic adder","display_name":"A power-efficient biomimetic intra-branch dendritic adder","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2736149515","doi":"https://doi.org/10.1109/ijcnn.2017.7966353","mag":"2736149515"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5049596583","display_name":"Pezhman Mamdouh","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pezhman Mamdouh","raw_affiliation_strings":["Ming Hsieh Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084461397","display_name":"Alice C. Parker","orcid":"https://orcid.org/0000-0001-9756-0183"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alice C. Parker","raw_affiliation_strings":["Ming Hsieh Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049596583"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08086057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7397","issue":null,"first_page":"3946","last_page":"3952"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.998199999332428,"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/adder","display_name":"Adder","score":0.9632171392440796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6557427644729614},{"id":"https://openalex.org/keywords/serial-binary-adder","display_name":"Serial binary adder","score":0.585999608039856},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5753664374351501},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5644204020500183},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5551144480705261},{"id":"https://openalex.org/keywords/carry-save-adder","display_name":"Carry-save adder","score":0.5219161510467529},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.42601141333580017},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4228295087814331},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.402059406042099},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18427327275276184},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1352229118347168},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08448860049247742}],"concepts":[{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.9632171392440796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6557427644729614},{"id":"https://openalex.org/C116206932","wikidata":"https://www.wikidata.org/wiki/Q7454686","display_name":"Serial binary adder","level":4,"score":0.585999608039856},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5753664374351501},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5644204020500183},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5551144480705261},{"id":"https://openalex.org/C3227080","wikidata":"https://www.wikidata.org/wiki/Q5046770","display_name":"Carry-save adder","level":4,"score":0.5219161510467529},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.42601141333580017},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4228295087814331},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.402059406042099},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18427327275276184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1352229118347168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08448860049247742},{"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/ijcnn.2017.7966353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W173187337","https://openalex.org/W649475307","https://openalex.org/W1529889273","https://openalex.org/W1992371433","https://openalex.org/W2000509838","https://openalex.org/W2016999231","https://openalex.org/W2032832574","https://openalex.org/W2034223233","https://openalex.org/W2036430956","https://openalex.org/W2040329317","https://openalex.org/W2040429262","https://openalex.org/W2068633781","https://openalex.org/W2078529082","https://openalex.org/W2110016065","https://openalex.org/W2116177531","https://openalex.org/W2127243386","https://openalex.org/W2146655366","https://openalex.org/W2163304488","https://openalex.org/W2169526261","https://openalex.org/W2312362577","https://openalex.org/W3211358631","https://openalex.org/W4212952892","https://openalex.org/W6698404229","https://openalex.org/W6803212393"],"related_works":["https://openalex.org/W2364181090","https://openalex.org/W4299002946","https://openalex.org/W2950518102","https://openalex.org/W2516396101","https://openalex.org/W2953746839","https://openalex.org/W2370097872","https://openalex.org/W2112595260","https://openalex.org/W4295540194","https://openalex.org/W1993041309","https://openalex.org/W2064215635"],"abstract_inverted_index":{"In":[0,20],"neurons,":[1],"the":[2,36,39,64,81,87,93],"essence":[3],"of":[4,38,74],"nonlinear":[5,53],"dendritic":[6,27,33,40],"computations":[7,34],"cannot":[8],"be":[9],"neglected":[10],"as":[11],"some":[12],"neural":[13],"behaviors":[14],"depend":[15],"heavily":[16],"on":[17],"these":[18],"functions.":[19],"this":[21],"paper,":[22],"a":[23],"power-efficient":[24],"biomimetic":[25],"intra-branch":[26],"adder":[28,44,65,83],"is":[29,45],"introduced":[30],"to":[31,55,80],"emulate":[32],"within":[35],"branches":[37],"arbor.":[41],"The":[42],"proposed":[43],"implemented":[46,91],"using":[47],"45nm":[48],"CMOS":[49],"technology.":[50,95],"While":[51],"exhibiting":[52],"behavior":[54],"post-synaptic":[56],"input":[57],"potentials,":[58],"our":[59],"simulation":[60],"results":[61],"shows":[62],"that":[63],"consumes":[66],"2.95X":[67],"and":[68,76],"10.8X":[69],"less":[70],"power,":[71],"in":[72,86,92],"processing":[73],"EPSPs":[75],"IPSPs,":[77],"respectively,":[78],"compared":[79],"traditional":[82],"used":[84],"extensively":[85],"BioRC":[88],"project":[89],"when":[90],"same":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}