{"id":"https://openalex.org/W7105687559","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228328","title":"Learning With Spiking Neural Assembly-Based State Machine","display_name":"Learning With Spiking Neural Assembly-Based State Machine","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W7105687559","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228328"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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":null,"display_name":"Mitra Rahmatinezhad","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mitra Rahmatinezhad","raw_affiliation_strings":["Carleton University,Dept. Electronics,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Dept. Electronics,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":null,"display_name":"Arash Ahmadi","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arash Ahmadi","raw_affiliation_strings":["Carleton University,Dept. Electronics,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Dept. Electronics,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5106187,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.5734000205993652,"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":0.5734000205993652,"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":0.28690001368522644,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.07490000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6949999928474426},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6643999814987183},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5863000154495239},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46320000290870667},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4562999904155731},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4311999976634979},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4262000024318695},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.33629998564720154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376000285148621},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6949999928474426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6815000176429749},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6643999814987183},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5863000154495239},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5088000297546387},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4311999976634979},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.33629998564720154},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3255000114440918},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C2986949344","wikidata":"https://www.wikidata.org/wiki/Q9404","display_name":"Neural system","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26980000734329224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8082026243209839,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1977369305","https://openalex.org/W1995341919","https://openalex.org/W1996874802","https://openalex.org/W2007190359","https://openalex.org/W2072706845","https://openalex.org/W2086033273","https://openalex.org/W2112246162","https://openalex.org/W2112601177","https://openalex.org/W2145589750","https://openalex.org/W2155505956","https://openalex.org/W2296127811","https://openalex.org/W2537787732","https://openalex.org/W2775079417","https://openalex.org/W2908844519","https://openalex.org/W2952924989","https://openalex.org/W2955564464","https://openalex.org/W2969036583","https://openalex.org/W2984844508","https://openalex.org/W3025773901","https://openalex.org/W3033478716","https://openalex.org/W3106004398","https://openalex.org/W3109080038","https://openalex.org/W3124546450","https://openalex.org/W4200355215","https://openalex.org/W4294921173","https://openalex.org/W4400659750","https://openalex.org/W4402727498","https://openalex.org/W4403280584"],"related_works":[],"abstract_inverted_index":{"Neural":[0],"Assembly":[1],"Computing":[2],"(NAC)":[3],"is":[4],"a":[5,46],"biologically":[6,114],"inspired":[7],"framework":[8],"that":[9,53],"uses":[10],"spiking":[11],"neural":[12,21,58],"networks":[13],"(SNNs)":[14],"to":[15,60,97],"simulate":[16],"the":[17,42,55,92,95,106],"computational":[18],"processes":[19],"of":[20,36,57,64,94,108],"cell":[22],"assemblies.":[23],"Building":[24],"on":[25],"earlier":[26],"research,":[27],"we":[28],"propose":[29],"an":[30,111],"extended":[31],"NAC-based":[32],"state":[33],"machine":[34],"capable":[35],"recognizing":[37],"significant":[38],"patterns":[39],"and":[40,74,101,113,121],"predicting":[41],"next":[43],"symbol":[44],"in":[45],"sequence.":[47],"The":[48,67,88],"model":[49],"employs":[50],"four":[51],"states":[52],"reflect":[54],"activity":[56],"assemblies":[59],"process":[61],"sequences":[62,100],"consisting":[63],"distinct":[65],"symbols.":[66],"proposed":[68],"system":[69],"achieves":[70],"real-time":[71],"sequence":[72],"prediction":[73],"demonstrates":[75],"robustness":[76],"under":[77],"noisy":[78],"conditions":[79],"by":[80],"learning":[81],"probabilistic":[82],"relationships":[83],"between":[84],"symbols":[85],"during":[86],"training.":[87],"simulation":[89],"results":[90],"highlight":[91],"ability":[93],"network":[96],"identify":[98],"incomplete":[99],"anticipate":[102],"subsequent":[103],"input,":[104],"showcasing":[105],"potential":[107],"NAC":[109],"as":[110],"efficient":[112],"realistic":[115],"approach":[116],"for":[117],"intelligent":[118],"systems,":[119],"robotics,":[120],"adaptive":[122],"decision-making":[123],"applications.":[124]},"counts_by_year":[],"updated_date":"2025-11-15T23:13:30.683059","created_date":"2025-11-14T00:00:00"}