{"id":"https://openalex.org/W4401568487","doi":"https://doi.org/10.23919/date58400.2024.10546699","title":"Unearthing the Potential of Spiking Neural Networks","display_name":"Unearthing the Potential of Spiking Neural Networks","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4401568487","doi":"https://doi.org/10.23919/date58400.2024.10546699"},"language":"en","primary_location":{"id":"doi:10.23919/date58400.2024.10546699","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date58400.2024.10546699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/A5081219427","display_name":"Sayeed Shafayet Chowdhury","orcid":"https://orcid.org/0009-0008-7463-8396"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sayeed Shafayet Chowdhury","raw_affiliation_strings":["School of ECE, Purdue University,West Lafayette,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, Purdue University,West Lafayette,USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008650954","display_name":"Adarsh Kumar Kosta","orcid":"https://orcid.org/0000-0001-6377-6701"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adarsh Kumar Kosta","raw_affiliation_strings":["School of ECE, Purdue University,West Lafayette,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, Purdue University,West Lafayette,USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664110","display_name":"Deepika Sharma","orcid":"https://orcid.org/0000-0002-8244-7919"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepika Sharma","raw_affiliation_strings":["School of ECE, Purdue University,West Lafayette,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, Purdue University,West Lafayette,USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001133822","display_name":"Marco Paul E. Apolinario","orcid":"https://orcid.org/0000-0002-1124-2545"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco P. E. Apolinario","raw_affiliation_strings":["School of ECE, Purdue University,West Lafayette,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, Purdue University,West Lafayette,USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031161187","display_name":"Kaushik Roy","orcid":"https://orcid.org/0000-0002-0735-9695"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Roy","raw_affiliation_strings":["School of ECE, Purdue University,West Lafayette,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, Purdue University,West Lafayette,USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09675522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9843999743461609,"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":0.9843999743461609,"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":0.9684000015258789,"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/T10320","display_name":"Neural Networks and Applications","score":0.9138000011444092,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.689921498298645},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6050474643707275},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5521821975708008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3880109488964081}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689921498298645},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6050474643707275},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5521821975708008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3880109488964081}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date58400.2024.10546699","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date58400.2024.10546699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W639708223","https://openalex.org/W1645800954","https://openalex.org/W2016574277","https://openalex.org/W2020676607","https://openalex.org/W2153158097","https://openalex.org/W2541249978","https://openalex.org/W2591675147","https://openalex.org/W2594491944","https://openalex.org/W2620474507","https://openalex.org/W2766447205","https://openalex.org/W2775079417","https://openalex.org/W2788172931","https://openalex.org/W2806066966","https://openalex.org/W2891530223","https://openalex.org/W2962908174","https://openalex.org/W2964338223","https://openalex.org/W2965775211","https://openalex.org/W2965867763","https://openalex.org/W2984844508","https://openalex.org/W2990793844","https://openalex.org/W3006426821","https://openalex.org/W3007283957","https://openalex.org/W3035644810","https://openalex.org/W3036766693","https://openalex.org/W3042468132","https://openalex.org/W3042725081","https://openalex.org/W3092055689","https://openalex.org/W3092083701","https://openalex.org/W3096609285","https://openalex.org/W3097285691","https://openalex.org/W3102087395","https://openalex.org/W3106188738","https://openalex.org/W3138516171","https://openalex.org/W3138915575","https://openalex.org/W3161867321","https://openalex.org/W3197271168","https://openalex.org/W4214767871","https://openalex.org/W4282837277","https://openalex.org/W4286571856","https://openalex.org/W4287126156","https://openalex.org/W4289927749","https://openalex.org/W4293584584","https://openalex.org/W4298323717","https://openalex.org/W4312382618","https://openalex.org/W4360605360","https://openalex.org/W4383066260","https://openalex.org/W4383066328","https://openalex.org/W4386918841","https://openalex.org/W4388757318","https://openalex.org/W6620707391","https://openalex.org/W6739434765","https://openalex.org/W6750227808","https://openalex.org/W6754595668","https://openalex.org/W6754819856","https://openalex.org/W6771742384","https://openalex.org/W6788135285","https://openalex.org/W6802059322","https://openalex.org/W6840495885"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W3126544799","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Spiking":[0],"neural":[1,11],"networks":[2,12],"(SNNs)":[3],"offer":[4],"a":[5,101,117],"promising":[6],"alternative":[7],"to":[8,112,136,140],"traditional":[9],"analog":[10],"(ANNs),":[13],"especially":[14],"for":[15,122],"sequential":[16,94,190],"tasks,":[17],"with":[18,34,106,116,134,192],"enhanced":[19],"energy":[20],"efficiency.":[21,155],"The":[22,96],"internal":[23],"memory":[24],"in":[25,81,93,147],"SNNs":[26,91,111,129,178],"obtained":[27],"through":[28],"the":[29,41,65,87,142,157,174,184],"membrane":[30],"potential":[31,89],"equips":[32],"them":[33],"innate":[35],"lightweight":[36],"temporal":[37,46],"processing":[38],"capabilities.":[39],"However,":[40],"unique":[42],"advantages":[43],"of":[44,48,70,90,100,120,144,149,159,170,177,186],"this":[45,60],"dimension":[47],"SNN":[49,187],"s":[50],"have":[51],"not":[52],"yet":[53],"been":[54],"effectively":[55],"harnessed.":[56],"To":[57],"that":[58,86,128],"end,":[59],"article":[61],"delves":[62],"deeper":[63],"into":[64],"what,":[66],"why":[67],"and":[68,153,162],"where":[69],"SNNs.":[71],"By":[72],"considering":[73],"event-based":[74],"optical":[75,123],"flow":[76],"as":[77,181],"an":[78],"exemplary":[79],"task":[80],"vision-based":[82],"navigation,":[83],"we":[84,126,182],"highlight":[85],"true":[88],"lies":[92],"tasks.":[95],"event-driven":[97],"recurrent":[98],"dynamics":[99],"spiking":[102],"neuron":[103],"merged":[104],"harmoniously":[105],"event":[107],"camera":[108],"inputs":[109],"enables":[110],"outperform":[113],"corresponding":[114],"ANNs":[115,135],"lower":[118],"number":[119],"parameters":[121],"flow.":[124],"Furthermore,":[125],"demonstrate":[127],"can":[130],"be":[131],"synergistically":[132],"combined":[133],"form":[137],"SNN-ANN":[138],"hybrids":[139],"obtain":[141],"best":[143],"both":[145],"worlds":[146],"terms":[148],"accuracy,":[150],"energy,":[151],"memory,":[152],"training":[154],"Additionally\u2019":[156],"emergence":[158],"various":[160],"near-memory":[161],"in-memory":[163],"computing":[164],"techniques":[165],"has":[166],"propelled":[167],"efficient":[168],"implementation":[169],"these":[171],"approaches.":[172],"Overall,":[173],"immediate":[175],"future":[176],"looks":[179],"exciting,":[180],"discover":[183],"niche":[185],"s,":[188],"comprising":[189],"tasks":[191],"low":[193],"power":[194],"requirements.":[195]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}