{"id":"https://openalex.org/W4404925478","doi":"https://doi.org/10.1145/3696271.3696279","title":"Applying the Forward-Forward Algorithm to Event-Based Sensing","display_name":"Applying the Forward-Forward Algorithm to Event-Based Sensing","publication_year":2024,"publication_date":"2024-08-02","ids":{"openalex":"https://openalex.org/W4404925478","doi":"https://doi.org/10.1145/3696271.3696279"},"language":"en","primary_location":{"id":"doi:10.1145/3696271.3696279","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3696271.3696279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI)","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/A5113300563","display_name":"S\u00fcleyman Emir Ak\u0131n","orcid":null},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Suleyman Emir Akin","raw_affiliation_strings":["Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044627947","display_name":"Toygar Akg\u00fcn","orcid":"https://orcid.org/0000-0001-9674-938X"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Toygar Akgun","raw_affiliation_strings":["Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113300563"],"corresponding_institution_ids":["https://openalex.org/I13236232"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22497178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9914000034332275,"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"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9914000034332275,"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/T14394","display_name":"Cognitive Science and Education Research","score":0.9158999919891357,"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/T11883","display_name":"Embodied and Extended Cognition","score":0.9114999771118164,"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/computer-science","display_name":"Computer science","score":0.7033330202102661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4942920207977295},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.48127859830856323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7033330202102661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4942920207977295},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.48127859830856323},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696271.3696279","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3696271.3696279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2119885245","https://openalex.org/W2487919169","https://openalex.org/W2552737632","https://openalex.org/W2594908799","https://openalex.org/W2904275768","https://openalex.org/W3040838455"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0],"forward-forward":[1,65,95,110,148,165,200],"algorithm":[2,58,66,96,111,149,166],"is":[3,26,59,97,112],"a":[4,36,92,214],"recently":[5],"introduced":[6],"method":[7],"that":[8,221],"can":[9],"be":[10,46],"used":[11],"to":[12,21,34,99,150,156,167,186,198,203,207],"train":[13,151],"artificial":[14,23,49],"neural":[15,24,50],"networks.":[16],"Currently,":[17],"the":[18,56,64,70,74,79,94,109,118,147,164,169,173,177,183,187,191,199,223],"canonical":[19],"approach":[20],"training":[22,201],"networks":[25,51],"using":[27],"(batched)":[28],"stochastic":[29],"gradient":[30],"descent":[31],"with":[32,172],"backpropagation":[33,57],"minimize":[35],"carefully":[37],"designed":[38],"cost":[39,75],"function.":[40],"As":[41,91,103],"successful":[42],"as":[43],"it":[44,205],"may":[45],"in":[47,105,176,225],"realizing":[48],"on":[52],"modern":[53],"digital":[54],"computers,":[55],"biologically":[60,101],"implausible.":[61],"Unlike":[62],"backpropagation,":[63],"does":[67,83],"not":[68,84],"propagate":[69],"partial":[71],"derivatives":[72],"of":[73,120,190],"function":[76],"backwards":[77],"throughout":[78],"whole":[80],"network":[81,154],"and":[82,133,194],"require":[85],"storing":[86],"or":[87],"re-computing":[88],"layer":[89],"activations.":[90],"result,":[93],"closer":[98],"being":[100],"plausible.":[102],"mentioned":[104],"Hinton's":[106],"original":[107,178],"paper,":[108],"well-suited":[113],"for":[114,129],"low-power":[115],"platforms,":[116],"indicating":[117],"possibility":[119],"on-device/on-edge":[121],"training.":[122],"Coincidentally,":[123],"event-based":[124,158,188,208],"(neuromorphic)":[125],"visual":[126,159,209],"sensors,":[127],"praised":[128],"their":[130],"power":[131],"efficiency":[132],"high":[134],"dynamic":[135],"range,":[136],"are":[137,228],"becoming":[138],"increasingly":[139],"commercially":[140],"available.":[141],"In":[142],"this":[143,226],"paper":[144,227],"we":[145,181,212],"apply":[146],"relatively":[152],"small":[153],"models":[155],"classify":[157],"inputs.":[160,210],"We":[161],"first":[162],"implement":[163],"reproduce":[168],"results":[170,224],"obtained":[171],"MNIST":[174,192],"dataset":[175,193],"paper.":[179],"Next,":[180],"switch":[182],"input":[184],"data":[185],"version":[189],"propose":[195],"novel":[196],"modifications":[197],"process":[202],"make":[204],"applicable":[206],"Finally,":[211],"present":[213],"comparative":[215],"performance":[216],"analysis.":[217],"All":[218],"PyTorch":[219],"scripts":[220],"generated":[222],"available":[229],"here:":[230],"https://github.com/SuleymanEmirAkin/Event-Based_Forward-Forward":[231]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
