{"id":"https://openalex.org/W4412128496","doi":"https://doi.org/10.1109/nice65350.2025.11065510","title":"A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity","display_name":"A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity","publication_year":2025,"publication_date":"2025-03-25","ids":{"openalex":"https://openalex.org/W4412128496","doi":"https://doi.org/10.1109/nice65350.2025.11065510"},"language":"en","primary_location":{"id":"doi:10.1109/nice65350.2025.11065510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nice65350.2025.11065510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Neuro Inspired Computational Elements (NICE)","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/A5118867519","display_name":"Jamie Lohofl","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jamie Lohofl","raw_affiliation_strings":["RWTH Aachen,Peter Gr&#x00FC;nberg Institute 15 FZ J&#x00FC;lich,Aachen,Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen,Peter Gr&#x00FC;nberg Institute 15 FZ J&#x00FC;lich,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anil Kaya","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anil Kaya","raw_affiliation_strings":["RWTH Aachen,Peter Gr&#x00FC;nberg Institute 15 FZ J&#x00FC;lich,Aachen,Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen,Peter Gr&#x00FC;nberg Institute 15 FZ J&#x00FC;lich,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115997421","display_name":"Florian Assmuth","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Assmuth","raw_affiliation_strings":["RWTH Aachen,Peter Gr&#x00FC;nberg Institute 15 FZ J&#x00FC;lich,Aachen,Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen,Peter Gr&#x00FC;nberg Institute 15 FZ J&#x00FC;lich,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060924942","display_name":"Emre Neftci","orcid":"https://orcid.org/0000-0002-0332-3273"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Emre Neftci","raw_affiliation_strings":["RWTH Aachen,Peter Gr&#x00FC;nberg Institute 15 FZ J&#x00FC;lich,Aachen,Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen,Peter Gr&#x00FC;nberg Institute 15 FZ J&#x00FC;lich,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5118867519"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13886015,"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":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9898999929428101,"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"}},{"id":"https://openalex.org/T10660","display_name":"Conducting polymers and applications","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.5419737696647644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5261066555976868},{"id":"https://openalex.org/keywords/plasticity","display_name":"Plasticity","score":0.45161157846450806},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.342963844537735},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15571117401123047},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.15559399127960205},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13104340434074402}],"concepts":[{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.5419737696647644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5261066555976868},{"id":"https://openalex.org/C79186407","wikidata":"https://www.wikidata.org/wiki/Q472074","display_name":"Plasticity","level":2,"score":0.45161157846450806},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.342963844537735},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15571117401123047},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.15559399127960205},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13104340434074402},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nice65350.2025.11065510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nice65350.2025.11065510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Neuro Inspired Computational Elements (NICE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1674799117","https://openalex.org/W2016589492","https://openalex.org/W2478429860","https://openalex.org/W2620474507","https://openalex.org/W2782973718","https://openalex.org/W2891530223","https://openalex.org/W2899217980","https://openalex.org/W2980513133","https://openalex.org/W2984844508","https://openalex.org/W3025773901","https://openalex.org/W3043133474","https://openalex.org/W3044713958","https://openalex.org/W3102087395","https://openalex.org/W3105516366","https://openalex.org/W3120582545","https://openalex.org/W3170967170","https://openalex.org/W3200084004","https://openalex.org/W3201870057","https://openalex.org/W3209047669","https://openalex.org/W4287180375","https://openalex.org/W4287758389","https://openalex.org/W4319602134","https://openalex.org/W4375859366","https://openalex.org/W4387409844","https://openalex.org/W4390872397","https://openalex.org/W4393160149","https://openalex.org/W4398879079","https://openalex.org/W4399511136","https://openalex.org/W4402580846","https://openalex.org/W4404915982","https://openalex.org/W4406491577","https://openalex.org/W6602394311","https://openalex.org/W6637157234","https://openalex.org/W6754595668","https://openalex.org/W6779901144","https://openalex.org/W6795170594","https://openalex.org/W6802523388","https://openalex.org/W6864526709","https://openalex.org/W6869903767","https://openalex.org/W6869938262","https://openalex.org/W6892438047","https://openalex.org/W6894206845"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2016937053","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2372312044","https://openalex.org/W2098828199","https://openalex.org/W4396701345"],"abstract_inverted_index":{"Online":[0],"synaptic":[1,57,94,120],"plasticity":[2,58,95,121],"rules":[3,59,122],"derived":[4],"from":[5,136,184],"gradient":[6,29,149],"descent":[7],"achieve":[8,82],"high":[9],"accuracy":[10],"on":[11,151,178],"a":[12,44],"wide":[13],"range":[14],"of":[15,36,55,72,92,102,143],"practical":[16],"tasks.":[17],"However,":[18],"their":[19],"software":[20],"implementation":[21,54,101],"often":[22],"requires":[23],"tediously":[24],"hand-derived":[25],"gradients":[26,145,157],"or":[27],"using":[28],"backpropagation":[30,150],"which":[31],"sacrifices":[32],"the":[33,37,69,86,115,141,179],"online":[34,53,93],"capability":[35],"rules.":[38],"In":[39],"this":[40,130,137],"work,":[41],"we":[42,84],"present":[43],"custom":[45],"automatic":[46],"differentiation":[47],"(AD)":[48],"pipeline":[49],"for":[50,75],"sparse":[51,100],"and":[52,89,132],"gradient-based":[56],"that":[60],"generalizes":[61],"to":[62,148],"arbitrary":[63],"neuron":[64],"models.":[65],"Our":[66],"work":[67],"combines":[68],"programming":[70],"ease":[71],"backpropagation-type":[73],"methods":[74],"forward":[76,185],"AD":[77,103,186],"while":[78],"being":[79],"memory-efficient.":[80],"To":[81],"this,":[83],"exploit":[85],"advantageous":[87],"compute":[88],"memory":[90,170],"scaling":[91],"by":[96],"providing":[97],"an":[98,152],"inherently":[99],"where":[104,155],"expensive":[105],"tensor":[106],"contractions":[107],"are":[108,117,158],"replaced":[109],"with":[110,146,173],"simple":[111],"element-wise":[112],"multiplications":[113],"if":[114],"tensors":[116],"diagonal.":[118],"Gradient-based":[119],"such":[123],"as":[124,160,162,182],"eligibility":[125],"propagation":[126],"(e-prop)":[127],"have":[128],"exactly":[129],"property":[131],"thus":[133],"profit":[134],"immensely":[135],"feature.":[138],"We":[139,167],"demonstrate":[140,168],"alignment":[142],"our":[144],"respect":[147],"synthetic":[153],"task":[154],"e-prop":[156],"exact,":[159],"well":[161],"audio":[163],"speech":[164],"classification":[165],"benchmarks.":[166],"how":[169],"utilization":[171],"scales":[172],"network":[174],"size":[175],"without":[176],"dependence":[177],"sequence":[180],"length,":[181],"expected":[183],"methods.":[187]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
