{"id":"https://openalex.org/W2965916766","doi":"https://doi.org/10.1109/aicas.2019.8771619","title":"Heterogeneous Activation Function Extraction for Training and Optimization of SNN Systems","display_name":"Heterogeneous Activation Function Extraction for Training and Optimization of SNN Systems","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2965916766","doi":"https://doi.org/10.1109/aicas.2019.8771619","mag":"2965916766"},"language":"en","primary_location":{"id":"doi:10.1109/aicas.2019.8771619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas.2019.8771619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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/A5019444861","display_name":"Amir Zjajo","orcid":"https://orcid.org/0000-0002-0716-8186"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Amir Zjajo","raw_affiliation_strings":["Circuits and Systems Group, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits and Systems Group, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101449950","display_name":"Sumeet S. Kumar","orcid":"https://orcid.org/0000-0002-0667-7552"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sumeet Kumar","raw_affiliation_strings":["Circuits and Systems Group, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits and Systems Group, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041082811","display_name":"Ren\u00e9 van Leuken","orcid":"https://orcid.org/0000-0003-0638-7595"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rene van Leuken","raw_affiliation_strings":["Circuits and Systems Group, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits and Systems Group, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08383536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"244","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.8034898638725281},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5680018663406372},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5202599763870239},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47420814633369446},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46393874287605286},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4555439352989197},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.44862914085388184},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.426474392414093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3064350485801697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10865673422813416},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09821715950965881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8034898638725281},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5680018663406372},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5202599763870239},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47420814633369446},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46393874287605286},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4555439352989197},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.44862914085388184},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.426474392414093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3064350485801697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10865673422813416},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09821715950965881},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas.2019.8771619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas.2019.8771619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1645800954","https://openalex.org/W2005293878","https://openalex.org/W2008008156","https://openalex.org/W2040429262","https://openalex.org/W2140823559","https://openalex.org/W2142868932","https://openalex.org/W2289252105","https://openalex.org/W2772977828","https://openalex.org/W6681370324","https://openalex.org/W6746320462"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W2379084545","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2920832517","https://openalex.org/W4388827557","https://openalex.org/W4231775656","https://openalex.org/W2046435967"],"abstract_inverted_index":{"Energy-efficiency":[0],"and":[1,31,63,66,76],"computation":[2],"capability":[3],"characteristics":[4],"of":[5,15,33,46,50,57,70,80],"analog/mixed-signal":[6],"spiking":[7],"neural":[8],"networks":[9],"offer":[10],"capable":[11],"platform":[12],"for":[13,44],"implementation":[14],"cognitive":[16],"tasks":[17],"on":[18],"resource-limited":[19],"embedded":[20],"platforms.":[21],"However,":[22],"inherent":[23],"mismatch":[24,72],"in":[25,59],"analog":[26,51],"devices":[27],"severely":[28],"influence":[29,74],"accuracy":[30],"reliability":[32],"the":[34,71,81],"computing":[35],"system.":[36,82],"In":[37],"this":[38],"paper,":[39],"we":[40],"devise":[41],"efficient":[42],"algorithm":[43],"extracting":[45],"heterogeneous":[47],"activation":[48],"functions":[49],"hardware":[52],"neurons":[53],"as":[54],"a":[55],"set":[56],"constraints":[58],"an":[60],"off-line":[61],"training":[62],"optimization":[64],"process,":[65],"examine":[67],"how":[68],"compensation":[69],"effects":[73],"synchronicity":[75],"information":[77],"processing":[78],"capabilities":[79]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}