{"id":"https://openalex.org/W4312400035","doi":"https://doi.org/10.1109/iscas48785.2022.9937414","title":"Spatiotemporal Spike Pattern Detection with Second-order Memristive Synapses","display_name":"Spatiotemporal Spike Pattern Detection with Second-order Memristive Synapses","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312400035","doi":"https://doi.org/10.1109/iscas48785.2022.9937414"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937414","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5102023760","display_name":"Yuting Wu","orcid":"https://orcid.org/0009-0001-8927-5320"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuting Wu","raw_affiliation_strings":["The University of Michigan,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109"],"affiliations":[{"raw_affiliation_string":"The University of Michigan,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102980902","display_name":"Sangmin Yoo","orcid":"https://orcid.org/0009-0003-0780-3367"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sangmin Yoo","raw_affiliation_strings":["The University of Michigan,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109"],"affiliations":[{"raw_affiliation_string":"The University of Michigan,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100581952","display_name":"Fan-Hsuan Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan-Hsuan Meng","raw_affiliation_strings":["The University of Michigan,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109"],"affiliations":[{"raw_affiliation_string":"The University of Michigan,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066881061","display_name":"Wei L\u00fc","orcid":"https://orcid.org/0000-0003-4731-1976"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei D. Lu","raw_affiliation_strings":["The University of Michigan,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109"],"affiliations":[{"raw_affiliation_string":"The University of Michigan,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102023760"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21797937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"625","last_page":"628"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.7857390642166138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6839214563369751},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6495833992958069},{"id":"https://openalex.org/keywords/postsynaptic-potential","display_name":"Postsynaptic potential","score":0.5340360999107361},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5065025091171265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47889652848243713},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.4558478891849518},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.41582822799682617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39822497963905334}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7857390642166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839214563369751},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6495833992958069},{"id":"https://openalex.org/C197341189","wikidata":"https://www.wikidata.org/wiki/Q863533","display_name":"Postsynaptic potential","level":3,"score":0.5340360999107361},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5065025091171265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47889652848243713},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.4558478891849518},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.41582822799682617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39822497963905334},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937414","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":16,"referenced_works":["https://openalex.org/W1580901834","https://openalex.org/W2014059210","https://openalex.org/W2016922062","https://openalex.org/W2045614943","https://openalex.org/W2092268242","https://openalex.org/W2106122296","https://openalex.org/W2120557145","https://openalex.org/W2130506326","https://openalex.org/W2156571346","https://openalex.org/W2467242042","https://openalex.org/W2904302621","https://openalex.org/W2963385418","https://openalex.org/W3098807723","https://openalex.org/W3157109255","https://openalex.org/W3165520488","https://openalex.org/W4238614602"],"related_works":["https://openalex.org/W2383615955","https://openalex.org/W4306175885","https://openalex.org/W2056756835","https://openalex.org/W4312604567","https://openalex.org/W4387390134","https://openalex.org/W2165312143","https://openalex.org/W2187212244","https://openalex.org/W2542565870","https://openalex.org/W2583316550","https://openalex.org/W2130536249"],"abstract_inverted_index":{"Spatiotemporal":[0],"patterns":[1,37],"of":[2,35,41,60,79],"spike":[3],"trains":[4],"convey":[5],"critical":[6],"information":[7],"in":[8,83],"a":[9,51,66],"biological":[10],"neural":[11],"network.":[12],"Second-order":[13],"memristive":[14,62],"devices,":[15],"whose":[16],"internal":[17],"state":[18],"variables":[19],"offer":[20],"short-":[21],"and":[22],"long-term":[23],"temporal":[24,33],"dynamics,":[25],"have":[26],"been":[27],"employed":[28],"to":[29],"natively":[30],"decode":[31],"the":[32],"correlation":[34],"spiking":[36,81],"through":[38],"bio-realistic":[39],"implementation":[40],"synaptic":[42],"learning":[43],"rules.":[44],"In":[45],"this":[46],"work,":[47],"we":[48],"demonstrate":[49],"that":[50],"single":[52],"artificial":[53],"postsynaptic":[54],"neuron":[55],"equipped":[56],"with":[57],"an":[58,75,84],"array":[59],"second-order":[61],"synapses":[63],"can":[64],"localize":[65],"precise":[67],"spatiotemporal":[68],"firing":[69],"pattern,":[70],"which":[71],"repeats":[72],"irregularly":[73],"within":[74],"equally":[76],"dense":[77],"background":[78],"Poisson":[80],"events,":[82],"unsupervised":[85],"fashion.":[86]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
