{"id":"https://openalex.org/W4405362238","doi":"https://doi.org/10.1109/dttis62212.2024.10780090","title":"Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks","display_name":"Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405362238","doi":"https://doi.org/10.1109/dttis62212.2024.10780090"},"language":"en","primary_location":{"id":"doi:10.1109/dttis62212.2024.10780090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dttis62212.2024.10780090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/DTTIS62212.2024.10780090","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067752433","display_name":"Sepide Saeedi","orcid":"https://orcid.org/0000-0002-8310-7553"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Sepide Saeedi","raw_affiliation_strings":["Politecnico di Torino,Control and Computer Eng. Dep,Torino,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Control and Computer Eng. Dep,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018833380","display_name":"Alessio Carpegna","orcid":"https://orcid.org/0000-0003-2233-4485"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Carpegna","raw_affiliation_strings":["Politecnico di Torino,Control and Computer Eng. Dep,Torino,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Control and Computer Eng. Dep,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065582630","display_name":"Alessandro Savino","orcid":"https://orcid.org/0000-0003-0529-7950"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Savino","raw_affiliation_strings":["Politecnico di Torino,Control and Computer Eng. Dep,Torino,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Control and Computer Eng. Dep,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026593274","display_name":"Stefano Di Carlo","orcid":"https://orcid.org/0000-0002-7512-5356"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Di Carlo","raw_affiliation_strings":["Politecnico di Torino,Control and Computer Eng. Dep,Torino,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Control and Computer Eng. Dep,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067752433"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20872363,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9976999759674072,"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":0.9976999759674072,"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/T10320","display_name":"Neural Networks and Applications","score":0.9905999898910522,"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":0.9743000268936157,"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/reduction","display_name":"Reduction (mathematics)","score":0.708519697189331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6591084003448486},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6035562753677368},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5503560304641724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37200111150741577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07075822353363037}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.708519697189331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591084003448486},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6035562753677368},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5503560304641724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37200111150741577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07075822353363037},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dttis62212.2024.10780090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dttis62212.2024.10780090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:15045215","is_oa":true,"landing_page_url":"https://doi.org/10.1109/DTTIS62212.2024.10780090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:15045215","is_oa":true,"landing_page_url":"https://doi.org/10.1109/DTTIS62212.2024.10780090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/other"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2006370340","https://openalex.org/W2534788641","https://openalex.org/W2797985644","https://openalex.org/W2886797120","https://openalex.org/W2940903362","https://openalex.org/W3012480085","https://openalex.org/W3034464722","https://openalex.org/W3036882359","https://openalex.org/W3039722244","https://openalex.org/W3108426037","https://openalex.org/W3163327350","https://openalex.org/W3175194381","https://openalex.org/W4200410165","https://openalex.org/W4232306717","https://openalex.org/W4283315431","https://openalex.org/W4309612194","https://openalex.org/W4312044827","https://openalex.org/W6631084143","https://openalex.org/W6764505263","https://openalex.org/W6767732040","https://openalex.org/W6864447480"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Approximate":[0],"Computing":[1],"(AxC)":[2],"techniques":[3],"trade":[4],"off":[5],"computational":[6],"accuracy":[7,36],"for":[8],"gains":[9],"in":[10,117],"performance,":[11],"energy":[12],"efficiency,":[13],"and":[14,125],"area":[15,56],"reduction.":[16],"This":[17],"trade-off":[18],"is":[19,46],"particularly":[20],"advantageous":[21],"when":[22,42,102],"applications,":[23],"like":[24],"Spiking":[25],"Neural":[26],"Networks":[27],"(SNNs),":[28],"are":[29,39],"naturally":[30],"tolerant":[31],"to":[32,48,78,99],"some":[33],"degree":[34],"of":[35,51,105],"loss.":[37],"SNNs":[38],"especially":[40],"practical":[41],"the":[43,49,74,84,96,103,114],"target":[44],"hardware":[45],"pushed":[47],"edge":[50],"its":[52],"computing":[53],"capabilities,":[54],"necessitating":[55],"minimization":[57],"strategies.":[58],"In":[59],"this":[60,88],"work,":[61],"we":[62],"utilize":[63],"an":[64],"Interval":[65],"Arithmetic":[66],"(IA)-based":[67],"model":[68,90],"that":[69,128],"propagates":[70],"approximation":[71,106],"errors":[72],"through":[73],"application\u2019s":[75],"computation":[76,97],"flow":[77,98],"assess":[79],"these":[80],"approximations'":[81],"impact":[82],"on":[83],"outputs.":[85],"We":[86],"enhance":[87],"IA-based":[89],"by":[91],"introducing":[92],"observation":[93],"points":[94],"within":[95],"quickly":[100],"detect":[101],"level":[104],"surpasses":[107],"a":[108],"set":[109],"threshold.":[110],"Experimental":[111],"results":[112],"demonstrate":[113],"model\u2019s":[115],"effectiveness":[116],"significantly":[118],"reducing":[119],"exploration":[120],"time,":[121],"enabling":[122],"more":[123],"precise":[124],"fine-grained":[126],"approximations":[127],"further":[129],"minimize":[130],"network":[131],"parameters.":[132]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2024-12-14T00:00:00"}
