{"id":"https://openalex.org/W7137969321","doi":"https://doi.org/10.1609/aaai.v40i3.37187","title":"Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks","display_name":"Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137969321","doi":"https://doi.org/10.1609/aaai.v40i3.37187"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i3.37187","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i3.37187","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i3.37187","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jian Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jian Song","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Xiangfei Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangfei Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Shangke Lyu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shangke Lyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Donglin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donglin Wang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.328125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"3","first_page":"2056","last_page":"2064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8892999887466431,"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":0.8892999887466431,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.040300000458955765,"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":0.026200000196695328,"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/spiking-neural-network","display_name":"Spiking neural network","score":0.7854999899864197},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5343999862670898},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.462799996137619},{"id":"https://openalex.org/keywords/random-neural-network","display_name":"Random neural network","score":0.3668999969959259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3634999990463257},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.3424000144004822},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.3422999978065491},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3402000069618225},{"id":"https://openalex.org/keywords/jitter","display_name":"Jitter","score":0.3330000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954999804496765},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7854999899864197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6362000107765198},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5343999862670898},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.462799996137619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4097000062465668},{"id":"https://openalex.org/C33010914","wikidata":"https://www.wikidata.org/wiki/Q7291980","display_name":"Random neural network","level":4,"score":0.3668999969959259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.2818000018596649},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i3.37187","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i3.37187","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i3.37187","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i3.37187","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Spiking":[0],"neural":[1,62,196],"networks":[2,63],"(SNNs)":[3],"have":[4],"demonstrated":[5],"significant":[6],"potential":[7,187],"in":[8,53,69,117],"real-time":[9],"multi-sensor":[10],"perception":[11],"tasks":[12,184],"due":[13],"to":[14,44,60],"their":[15],"event-driven":[16],"and":[17,40,57,84,88,134,143,166,171,191],"parameter-efficient":[18],"characteristics.":[19],"A":[20],"key":[21],"challenge":[22],"is":[23],"the":[24,36,111],"timestep-wise":[25],"iterative":[26],"update":[27,105],"of":[28,114,124,137],"neuronal":[29],"hidden":[30,103,138],"states":[31],"(membrane":[32],"potentials),":[33],"which":[34],"complicates":[35],"trade-off":[37],"between":[38],"accuracy":[39,144],"latency.":[41],"SNNs":[42,70,181],"tend":[43],"achieve":[45],"better":[46],"performance":[47,160],"with":[48,78],"longer":[49],"timesteps,":[50,80],"inevitably":[51],"resulting":[52],"higher":[54],"computational":[55],"overhead":[56],"latency":[58],"compared":[59],"artificial":[61],"(ANNs).":[64],"Moreover,":[65],"many":[66],"recent":[67],"advances":[68],"rely":[71],"on":[72,148],"architecture-specific":[73],"optimizations,":[74],"which,":[75],"while":[76,145],"effective":[77,155],"fewer":[79],"often":[81],"limit":[82],"generalizability":[83],"scalability":[85],"across":[86,161],"modalities":[87],"models.":[89],"To":[90],"address":[91],"these":[92],"limitations,":[93],"we":[94],"propose":[95],"Activation-wise":[96],"Membrane":[97],"Potential":[98],"Propagation":[99],"(AMP2),":[100],"a":[101,189],"unified":[102],"state":[104],"mechanism":[106],"for":[107,168,182,194],"SNNs.":[108],"Inspired":[109],"by":[110],"spatial":[112],"propagation":[113],"membrane":[115,125],"potentials":[116,126],"biological":[118],"neurons,":[119,130],"AMP2":[120,178],"enables":[121],"dynamic":[122],"transmission":[123],"among":[127],"spatially":[128],"adjacent":[129],"facilitating":[131],"spatiotemporal":[132],"integration":[133],"cooperative":[135],"dynamics":[136],"states,":[139],"thereby":[140],"improving":[141],"efficiency":[142],"reducing":[146],"reliance":[147],"extended":[149],"temporal":[150],"updates.":[151],"This":[152],"simple":[153],"yet":[154],"strategy":[156],"significantly":[157],"enhances":[158],"SNN":[159],"various":[162],"architectures,":[163],"including":[164],"MLPs":[165],"CNNs":[167],"point":[169],"cloud":[170],"event-based":[172],"data.":[173],"Furthermore,":[174],"ablation":[175],"studies":[176],"integrating":[177],"into":[179],"Transformer-based":[180],"classification":[183],"demonstrate":[185],"its":[186],"as":[188],"general-purpose":[190],"efficient":[192],"solution":[193],"spiking":[195],"networks.":[197]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2026-02-07T00:00:00"}