{"id":"https://openalex.org/W7138126150","doi":"https://doi.org/10.48550/arxiv.2603.14285","title":"MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks","display_name":"MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks","publication_year":2026,"publication_date":"2026-03-15","ids":{"openalex":"https://openalex.org/W7138126150","doi":"https://doi.org/10.48550/arxiv.2603.14285"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14285","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14285","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.14285","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129644758","display_name":"Yongsheng Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yongsheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010309828","display_name":"Peibo Duan","orcid":"https://orcid.org/0000-0002-0686-8404"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan, Peibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129673888","display_name":"Yujie Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yujie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129733933","display_name":"Kai Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129698625","display_name":"Zhipeng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhipeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124227096","display_name":"Jiaxiang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiaxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412623","display_name":"Guangyu Li","orcid":"https://orcid.org/0000-0002-0674-6124"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Guangyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Changsheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Changsheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129666100","display_name":"Bin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129654562","display_name":"Mingkun Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Mingkun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8065000176429749,"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":0.8065000176429749,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.06920000165700912,"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":0.04670000076293945,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7426000237464905},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6222000122070312},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5020999908447266},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4964999854564667},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4478999972343445},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44020000100135803},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.43560001254081726},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.39340001344680786}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7426000237464905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275000214576721},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6222000122070312},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5020999908447266},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4964999854564667},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.43560001254081726},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C79186407","wikidata":"https://www.wikidata.org/wiki/Q472074","display_name":"Plasticity","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3544999957084656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3465000092983246},{"id":"https://openalex.org/C166501922","wikidata":"https://www.wikidata.org/wiki/Q1786523","display_name":"Signal-flow graph","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3336000144481659},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.2824999988079071},{"id":"https://openalex.org/C3018234147","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Undirected graph","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C2993191138","wikidata":"https://www.wikidata.org/wiki/Q849491","display_name":"Structural plasticity","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14285","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14285","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.14285","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14285","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Spiking":[0],"Neural":[1],"Networks":[2],"(SNNs)":[3],"currently":[4],"face":[5],"a":[6,55,69,86],"critical":[7,40],"bottleneck:":[8],"while":[9],"individual":[10],"neurons":[11],"exhibit":[12],"dynamic":[13,100],"biological":[14,60],"properties,":[15],"their":[16],"macro-scopic":[17],"architectures":[18],"remain":[19],"confined":[20],"within":[21],"conventional":[22],"connectivity":[23,38],"patterns":[24],"that":[25,112],"are":[26],"static":[27,118],"and":[28,35,63,119],"hierarchical.":[29],"This":[30],"discrepancy":[31],"between":[32],"neuron-level":[33],"dynamics":[34],"network-level":[36],"fixed":[37,108],"eliminates":[39],"brain-like":[41],"lateral":[42],"interactions,":[43],"limiting":[44],"adaptability":[45],"in":[46],"changing":[47],"environments.":[48],"To":[49],"address":[50],"this,":[51],"we":[52,67],"propose":[53],"MorphSNN,":[54],"backbone":[56],"framework":[57],"inspired":[58],"by":[59],"non-synaptic":[61],"diffusion":[62],"structural":[64],"plasticity.":[65],"Specifically,":[66],"introduce":[68],"Graph":[70],"Diffusion":[71],"(GD)mechanism":[72],"to":[73],"facilitate":[74],"efficient":[75],"undirected":[76],"signal":[77],"propagation,":[78],"complementing":[79],"the":[80,93,96,105],"feedforward":[81],"hierarchy.":[82],"Furthermore,":[83],"it":[84,124],"incorporates":[85],"Spatio-Temporal":[87],"Structural":[88],"Plasticity":[89],"(STSP)":[90],"mechanism,":[91],"endowing":[92],"network":[94],"with":[95,130],"capability":[97],"for":[98,122],"instance-specific,":[99],"topological":[101],"reorganization,":[102],"thereby":[103],"overcoming":[104],"limitations":[106],"of":[107],"topologies.":[109],"Experiments":[110],"demonstrate":[111],"MorphSNN":[113],"achieves":[114],"state-of-the-art":[115],"accuracy":[116,127],"on":[117,128],"neuromorphic":[120],"datasets;":[121],"instance,":[123],"reaches":[125],"83.35%":[126],"N-Caltech101":[129],"only":[131],"5":[132],"timesteps.":[133],"More":[134],"importantly,":[135],"its":[136],"self-evolving":[137],"topology":[138],"functions":[139],"as":[140],"an":[141],"intrinsic":[142],"distribution":[143],"fingerprint,":[144],"enabling":[145],"superior":[146],"Out-of-":[147],"Distribution":[148],"(OOD)":[149],"detection":[150],"without":[151],"auxiliary":[152],"training.":[153],"The":[154],"code":[155],"is":[156],"available":[157],"at":[158],"anonymous.4open.science/r/MorphSNN-B0BC.":[159]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}