{"id":"https://openalex.org/W7214218623","doi":"https://doi.org/10.48550/arxiv.2609.26940","title":"The Computational Value of Sensory-Aligned Receptive Fields Depends on Neuronal Expressivity","display_name":"The Computational Value of Sensory-Aligned Receptive Fields Depends on Neuronal Expressivity","publication_year":2026,"publication_date":"2026-09-22","ids":{"openalex":"https://openalex.org/W7214218623","doi":"https://doi.org/10.48550/arxiv.2609.26940"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.26940","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.26940","pdf_url":"https://arxiv.org/pdf/2609.26940","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.26940","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5152467260","display_name":"Agnese Adorante","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Adorante, Agnese","raw_affiliation_strings":["Department of Computer Science , University of T\u00fcbingen , T\u00fcbingen , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , University of T\u00fcbingen , T\u00fcbingen , Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112950182","display_name":"Aaron Spieler","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]},{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Spieler, Aaron","raw_affiliation_strings":["Department of Computer Science , University of T\u00fcbingen , T\u00fcbingen , Germany","Max Planck Institute for Biological Cybernetics , T\u00fcbingen , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , University of T\u00fcbingen , T\u00fcbingen , Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"Max Planck Institute for Biological Cybernetics , T\u00fcbingen , Germany","institution_ids":["https://openalex.org/I4210112925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050318092","display_name":"Anna Levina","orcid":"https://orcid.org/0000-0003-1355-6617","observed_orcids":["https://orcid.org/0000-0003-1355-6617"]},"institutions":[{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]},{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Levina, Anna","raw_affiliation_strings":["Department of Computer Science , University of T\u00fcbingen , T\u00fcbingen , Germany","Max Planck Institute for Biological Cybernetics , T\u00fcbingen , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , University of T\u00fcbingen , T\u00fcbingen , Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"Max Planck Institute for Biological Cybernetics , T\u00fcbingen , Germany","institution_ids":["https://openalex.org/I4210112925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10320","display_name":"Neural Networks and Applications","score":0.8798999786376953,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8798999786376953,"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":0.033799998462200165,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.023099999874830246,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.7620000243186951},{"id":"https://openalex.org/keywords/efficient-coding","display_name":"efficient coding","score":0.6320000290870667},{"id":"https://openalex.org/keywords/computational-neuroscience","display_name":"computational neuroscience","score":0.30399999022483826}],"concepts":[{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.9663000106811523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5821999907493591},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.5152000188827515},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.49390000104904175},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.4422000050544739},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C198381616","wikidata":"https://www.wikidata.org/wiki/Q17157188","display_name":"Surround suppression","level":4,"score":0.3939000070095062},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3856000006198883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36880001425743103},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.36730000376701355},{"id":"https://openalex.org/C72064307","wikidata":"https://www.wikidata.org/wiki/Q1141237","display_name":"Lateral inhibition","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C15286952","wikidata":"https://www.wikidata.org/wiki/Q8037925","display_name":"Computational neuroscience","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.26940","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.26940","pdf_url":"https://arxiv.org/pdf/2609.26940","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.26940","doi":"https://doi.org/10.48550/arxiv.2609.26940","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.26940","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.26940","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.26940","pdf_url":"https://arxiv.org/pdf/2609.26940","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214218623.pdf","grobid_xml":"https://content.openalex.org/works/W7214218623.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1837967720","https://openalex.org/W1929289657","https://openalex.org/W1974049455","https://openalex.org/W2042422091","https://openalex.org/W2112796928","https://openalex.org/W2116360511","https://openalex.org/W2133285226","https://openalex.org/W2145889472","https://openalex.org/W2619510810","https://openalex.org/W2980513133","https://openalex.org/W3157286395","https://openalex.org/W3189057580","https://openalex.org/W4297093927","https://openalex.org/W4387409844","https://openalex.org/W4396796769","https://openalex.org/W7161031680"],"related_works":["https://openalex.org/W4304086674","https://openalex.org/W2260202920","https://openalex.org/W94486426","https://openalex.org/W1558908286","https://openalex.org/W2553024757","https://openalex.org/W4312093086","https://openalex.org/W1988655313","https://openalex.org/W2319089042","https://openalex.org/W2331876737","https://openalex.org/W2952300710"],"abstract_inverted_index":{"Biological":[0],"sensory":[1,111,126],"neurons":[2,40,68],"have":[3,41],"selective":[4],"receptive":[5,51,96,105,120,132,161,181,197,205],"fields":[6,52,106,133,206],"organized":[7],"along":[8],"meaningful":[9],"stimulus":[10],"coordinates,":[11,136],"such":[12],"as":[13,35,209],"frequency,":[14],"motion":[15],"direction,":[16],"or":[17,130],"retinotopic":[18],"position.":[19],"Such":[20],"structure":[21],"may":[22],"arise":[23],"from":[24,142],"efficient":[25],"coding":[26],"and":[27,33,61,91,100,171,216],"biological":[28],"constraints":[29],"on":[30,221],"activity,":[31],"connectivity,":[32],"wiring,":[34],"computational":[36,55,193,211,223],"studies":[37],"of":[38,79,94,159,195,225],"simple":[39],"shown":[42],"across":[43],"modalities.":[44],"This":[45,122],"raises":[46],"a":[47,54,109,210],"question:":[48],"do":[49],"structured":[50,160,180],"confer":[53],"advantage":[56,64,123,158],"beyond":[57,213],"resource":[58],"efficiency":[59],"itself,":[60,215],"does":[62],"this":[63,74],"persist":[65],"when":[66,125,131],"individual":[67,226],"are":[69,128],"highly":[70],"expressive?":[71],"We":[72],"address":[73],"question":[75],"in":[76],"recurrent":[77],"networks":[78],"Expressive":[80],"Leaky":[81],"Memory":[82],"neurons,":[83],"where":[84],"we":[85],"can":[86,207],"independently":[87],"vary":[88],"neuronal":[89,153],"complexity":[90,154],"the":[92,139,156,191,222],"organization":[93],"feed-forward":[95],"fields.":[97,121,162,198],"Across":[98],"auditory":[99],"event-based":[101],"visual":[102],"classification":[103],"tasks,":[104],"aligned":[107],"with":[108,144],"task-relevant":[110],"coordinate":[112],"improve":[113],"test":[114],"accuracy":[115],"relative":[116],"to":[117,189],"budget-matched":[118],"random":[119],"disappears":[124],"coordinates":[127],"scrambled,":[129],"follow":[134],"task-irrelevant":[135],"showing":[137],"that":[138,184,203,217],"benefit":[140,194],"comes":[141],"alignment":[143],"task":[145],"geometry":[146],"rather":[147],"than":[148],"restricted":[149],"connectivity":[150],"alone.":[151],"Increasing":[152],"reduces":[155],"performance":[157],"Finally,":[163],"generic":[164],"synaptic":[165],"sparsity":[166,185,214],"regularization":[167],"induces":[168],"input":[169],"selectivity":[170],"partially":[172],"recovers":[173],"performance,":[174],"but":[175],"remains":[176],"substantially":[177],"below":[178],"explicitly":[179],"fields,":[182],"suggesting":[183],"alone":[186],"is":[187],"insufficient":[188],"recover":[190],"full":[192],"task-aligned":[196],"Together,":[199],"our":[200],"results":[201],"show":[202],"appropriate":[204],"serve":[208],"prior":[212],"their":[218],"value":[219],"depends":[220],"expressivity":[224],"neurons.":[227]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-25T00:00:00"}