{"id":"https://openalex.org/W7161296772","doi":"https://doi.org/10.48550/arxiv.2605.13924","title":"Dual-axis attribution of zebrafish tectal microcircuits for energy-efficient and robust neurocomputing","display_name":"Dual-axis attribution of zebrafish tectal microcircuits for energy-efficient and robust neurocomputing","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161296772","doi":"https://doi.org/10.48550/arxiv.2605.13924"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.13924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13924","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.2605.13924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136234668","display_name":"Ningping Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ningping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136198872","display_name":"Hao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136270648","display_name":"Yi Zhou","orcid":"https://orcid.org/0009-0007-8363-3696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yi","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":0.5213000178337097,"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":0.5213000178337097,"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/T11685","display_name":"Zebrafish Biomedical Research Applications","score":0.1754000037908554,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"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"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.06889999657869339,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7583000063896179},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6568999886512756},{"id":"https://openalex.org/keywords/zebrafish","display_name":"Zebrafish","score":0.6514000296592712},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.6349999904632568},{"id":"https://openalex.org/keywords/multielectrode-array","display_name":"Multielectrode array","score":0.5733000040054321},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.4438000023365021},{"id":"https://openalex.org/keywords/neural-activity","display_name":"Neural activity","score":0.4262000024318695},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.3822999894618988},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3481999933719635}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7583000063896179},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6568999886512756},{"id":"https://openalex.org/C2776878037","wikidata":"https://www.wikidata.org/wiki/Q169444","display_name":"Zebrafish","level":3,"score":0.6514000296592712},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.6349999904632568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5776000022888184},{"id":"https://openalex.org/C95967509","wikidata":"https://www.wikidata.org/wiki/Q1952355","display_name":"Multielectrode array","level":4,"score":0.5733000040054321},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.5407000184059143},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.49869999289512634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47189998626708984},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.4438000023365021},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.36559998989105225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C169453685","wikidata":"https://www.wikidata.org/wiki/Q1054066","display_name":"Central pattern generator","level":3,"score":0.34369999170303345},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3407000005245209},{"id":"https://openalex.org/C2780196419","wikidata":"https://www.wikidata.org/wiki/Q1762173","display_name":"Nerve net","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.329800009727478},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C3832189","wikidata":"https://www.wikidata.org/wiki/Q8588916","display_name":"Models of neural computation","level":3,"score":0.2565999925136566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.13924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13924","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.2605.13924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13924","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8315524458885193}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Biological":[0],"neural":[1,14,66,151,196],"circuits":[2],"contain":[3],"specialized":[4],"substructures":[5],"that":[6],"support":[7],"distinct":[8],"computational":[9,38],"functions,":[10],"yet":[11],"many":[12],"bio-inspired":[13,195],"networks":[15,152],"borrow":[16],"biological":[17,191],"motifs":[18],"without":[19],"identifying":[20],"their":[21],"circuit-level":[22],"origins.":[23],"In":[24],"this":[25],"study,":[26],"we":[27],"investigate":[28],"whether":[29],"zebrafish":[30],"tectal":[31,101],"microcircuits":[32],"can":[33],"be":[34],"attributed":[35,146],"along":[36],"two":[37,100],"axes:":[39],"energy-efficient":[40],"information":[41,124],"processing":[42],"and":[43,54,82,89,153,161],"robustness-preserving":[44],"stabilization.":[45],"We":[46],"reconstruct":[47],"a":[48,72,96,106,111,118,121,136,186],"directed":[49],"zebrafish-inspired":[50],"retinotectal":[51,56],"microcircuit":[52],"graph":[53],"verify":[55],"signal":[57],"propagation":[58],"through":[59],"dynamic":[60],"simulation.":[61],"A":[62],"leaky":[63],"integrate-and-fire":[64],"spiking":[65],"network":[67],"is":[68],"then":[69],"used":[70],"as":[71,120],"nonlinear":[73],"perturbation":[74],"testbed,":[75],"where":[76],"predefined":[77],"subcircuits":[78],"are":[79],"selectively":[80],"ablated":[81],"evaluated":[83],"using":[84],"the":[85,90,127,131,175],"Energy":[86],"Sensitivity":[87,92],"Index":[88],"Robustness":[91],"Index.The":[93],"results":[94],"reveal":[95],"functional":[97],"dissociation":[98],"between":[99],"subcircuits.The":[102],"\\textit{ns\\_TIN}":[103],"subcircuit":[104,129],"shows":[105],"low":[107],"spike":[108],"footprint":[109],"but":[110],"measurable":[112],"influence":[113],"on":[114,156],"prediction":[115],"error,":[116],"suggesting":[117,135],"role":[119,138],"spike-efficient":[122],"internal":[123],"gate.In":[125],"contrast,":[126],"\\textit{superficial\\_TIN}":[128],"produces":[130],"highest":[132],"robustness":[133,179],"sensitivity,":[134],"feedback-like":[137],"in":[139],"maintaining":[140],"system-level":[141],"stability.We":[142],"further":[143],"transfer":[144],"these":[145],"functions":[147],"into":[148],"ResNet18-based":[149],"artificial":[150],"evaluate":[154],"them":[155],"CIFAR-10":[157],"under":[158,171,180],"inference-budget":[159],"reduction":[160],"Gaussian":[162],"noise":[163],"corruption.":[164],"The":[165],"\\textit{ns\\_TIN}-inspired":[166],"module":[167,177],"improves":[168,178],"performance":[169],"preservation":[170],"reduced":[172],"computation,":[173],"whereas":[174],"\\textit{superficial\\_TIN}-inspired":[176],"input":[181],"noise.":[182],"These":[183],"findings":[184],"provide":[185],"subcircuit-level":[187],"route":[188],"for":[189],"linking":[190],"circuit":[192],"organization":[193],"with":[194],"architecture":[197],"design.":[198]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}