{"id":"https://openalex.org/W4385488877","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191268","title":"Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology","display_name":"Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488877","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191268"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191268","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5049878919","display_name":"Richard Gerum","orcid":"https://orcid.org/0000-0001-5893-2650"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"funder","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Richard Gerum","raw_affiliation_strings":["Department of Physics and Astronomy, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068315026","display_name":"Andr\u00e9 Erpenbeck","orcid":"https://orcid.org/0000-0002-4907-8074"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"funder","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Erpenbeck","raw_affiliation_strings":["Department of Physics, University of Michigan, Ann Arbor, United States"],"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Michigan, Ann Arbor, United States","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062539159","display_name":"Patrick Krau\u00df","orcid":"https://orcid.org/0000-0002-6611-7733"},"institutions":[{"id":"https://openalex.org/I4210088053","display_name":"Universit\u00e4tsklinikum Erlangen","ror":"https://ror.org/0030f2a11","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Krauss","raw_affiliation_strings":["Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany","institution_ids":["https://openalex.org/I4210088053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026690582","display_name":"Achim Schilling","orcid":"https://orcid.org/0000-0001-9543-305X"},"institutions":[{"id":"https://openalex.org/I4210088053","display_name":"Universit\u00e4tsklinikum Erlangen","ror":"https://ror.org/0030f2a11","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Achim Schilling","raw_affiliation_strings":["Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany","institution_ids":["https://openalex.org/I4210088053"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.036,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.782477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":85},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9945,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9945,"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":0.9917,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9658,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.63584405},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.43523777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840674},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.75617576},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6590315},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.63584405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6244432},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.46085635},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4473554},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.43523777},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.43321535},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4243577},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.4107519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33573613},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08807829},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191268","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":69,"referenced_works":["https://openalex.org/W1593904745","https://openalex.org/W1666962919","https://openalex.org/W1979176387","https://openalex.org/W1979854415","https://openalex.org/W1985940938","https://openalex.org/W2011301426","https://openalex.org/W2020676607","https://openalex.org/W2064675550","https://openalex.org/W2100649405","https://openalex.org/W2109596721","https://openalex.org/W2121029939","https://openalex.org/W2135415614","https://openalex.org/W2135902307","https://openalex.org/W2146292423","https://openalex.org/W2183631084","https://openalex.org/W2201923684","https://openalex.org/W2734358244","https://openalex.org/W2738724892","https://openalex.org/W2750384547","https://openalex.org/W2798878556","https://openalex.org/W2800142021","https://openalex.org/W2887972576","https://openalex.org/W2892077605","https://openalex.org/W2894081242","https://openalex.org/W2901623423","https://openalex.org/W2909664894","https://openalex.org/W2950987652","https://openalex.org/W2951107471","https://openalex.org/W2963193428","https://openalex.org/W2964035021","https://openalex.org/W2971337080","https://openalex.org/W2979289750","https://openalex.org/W3004676899","https://openalex.org/W3008515469","https://openalex.org/W3010218741","https://openalex.org/W3021119228","https://openalex.org/W3024845266","https://openalex.org/W3041589219","https://openalex.org/W3042636884","https://openalex.org/W3043133474","https://openalex.org/W3046044791","https://openalex.org/W3046186692","https://openalex.org/W3047967924","https://openalex.org/W3102087395","https://openalex.org/W3118608800","https://openalex.org/W3124478039","https://openalex.org/W3135905652","https://openalex.org/W3146058829","https://openalex.org/W3162489473","https://openalex.org/W3179291489","https://openalex.org/W3184526936","https://openalex.org/W3185149102","https://openalex.org/W3189185287","https://openalex.org/W3199617994","https://openalex.org/W3203906445","https://openalex.org/W3211069630","https://openalex.org/W34239198","https://openalex.org/W4200484552","https://openalex.org/W4224940362","https://openalex.org/W4226192286","https://openalex.org/W4283805066","https://openalex.org/W4285157836","https://openalex.org/W4285743412","https://openalex.org/W4295312788","https://openalex.org/W4298355310","https://openalex.org/W4323075641","https://openalex.org/W4391718250","https://openalex.org/W4391878854","https://openalex.org/W4392943780"],"related_works":["https://openalex.org/W4386441857","https://openalex.org/W4380324631","https://openalex.org/W3212279325","https://openalex.org/W3198030868","https://openalex.org/W2996874253","https://openalex.org/W2906832317","https://openalex.org/W2088600489","https://openalex.org/W2023492997","https://openalex.org/W2013860114","https://openalex.org/W1504796302"],"abstract_inverted_index":{"Biological":[0],"neural":[1,35,94,177],"networks":[2,36,88,178],"encode":[3],"information":[4],"very":[5,14],"efficiently,":[6],"and":[7,70,110,151,174,190],"dynamically":[8],"react":[9],"to":[10,20,77,92,119,183],"sensory":[11],"input":[12],"on":[13,28,39],"small":[15],"time":[16,51,67],"scales.":[17],"In":[18,46,96],"contrast":[19],"most":[21],"contemporary":[22],"machine":[23],"learning":[24],"approaches":[25],"which":[26,131,157],"rely":[27],"rate":[29],"neurons":[30,41],"with":[31,42,171],"continuous":[32],"output,":[33],"biological":[34,93],"are":[37,54,75],"based":[38],"spiking":[40,137,143,162],"quasi-binary":[43],"discrete":[44],"output.":[45],"Artificial":[47],"Intelligence":[48],"(AI)":[49],"Research,":[50],"series":[52,68],"data":[53,69],"efficiently":[55],"encoded":[56],"in":[57,65,112,156,186],"Long-Short-":[58],"Term-Memory":[59],"(LSTM)":[60],"networks.":[61,95],"Despite":[62],"their":[63],"strength":[64],"encoding":[66],"making":[71],"predictions,":[72],"LSTM":[73,86,114,149],"units":[74,115,118,150,159],"assumed":[76],"be":[78],"biologically":[79,125,135,172],"implausible.":[80],"Nevertheless,":[81],"recent":[82],"studies":[83],"show":[84,100,120,160],"that":[85,101,166],"unit":[87],"indeed":[89],"behave":[90],"similar":[91,121],"this":[97],"study,":[98],"we":[99],"a":[102,133],"particular":[103],"choice":[104],"of":[105,145],"parameters":[106],"for":[107],"the":[108,142,146,153],"weights":[109],"gates":[111],"peephole":[113,148],"causes":[116],"these":[117,158],"dynamic":[122],"behaviour":[123],"as":[124],"plausible":[126,173],"leaky":[127],"integrate-and-fire":[128],"(LIF)":[129],"neurons,":[130],"represent":[132],"simple":[134],"inspired":[136],"neuron":[138],"model.":[139],"We":[140,164],"analyzed":[141],"characteristics":[144],"restricted":[147],"characterize":[152],"parameter":[154],"space,":[155],"certain":[161],"characteristics.":[163],"conclude":[165],"tackling":[167],"complex":[168],"cognitive":[169],"tasks":[170],"explainable":[175],"artificial":[176,191],"is":[179],"an":[180],"important":[181],"step":[182],"make":[184],"progress":[185],"both":[187],"fields,":[188],"neuroscience":[189],"intelligence.":[192]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385488877","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-04-22T13:41:31.364127","created_date":"2023-08-03"}