Overcoming the limitations of motion sensor models by considering dendritic computations
11 pages, 8 figures
| Autores: | , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/387796 |
| Acesso em linha: | http://hdl.handle.net/10261/387796 https://api.elsevier.com/content/abstract/scopus_id/105000420665 |
| Access Level: | acceso abierto |
| Palavra-chave: | Dendritic computations Motion perception Motion sensors |
| id |
ES_50d266e15d73d70d58bdbf263ed33bdf |
|---|---|
| oai_identifier_str |
oai:digital.csic.es:10261/387796 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Overcoming the limitations of motion sensor models by considering dendritic computationsLuna, RaúlSerrano-Pedraza, IgnacioBertalmío, MarceloDendritic computationsMotion perceptionMotion sensors11 pages, 8 figuresThe estimation of motion is an essential process for any sighted animal. Computational models of motion sensors have a long and successful history but they still suffer from basic shortcomings, as they disagree with physiological evidence and each model is dedicated to a specific type of motion, which is controversial from a biological standpoint. In this work, we propose a new approach to modeling motion sensors that considers dendritic computations, a key aspect for predicting single-neuron responses that had previously been absent from motion models. We show how, by taking into account the dynamic and input-dependent nature of dendritic nonlinearities, our motion sensor model is able to overcome the fundamental limitations of standard approaches.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. R.L. was supported by a Juan de la Cierva-Formación fellowship (FJC2020-044084-I) funded by Ministerio de Ciencia e Innovación/Agencia Estatal de Investigación (Spain) and by the European Union NextGenerationEU/PRTR. I.S-P was supported by grant PID2021-122245NB-I00, from Ministerio de Ciencia e Innovación (Spain). M.B. was supported by project VIS4NN, Programa Fundamentos 2022, Fundación BBVA, and by grant PID2021-127373NB-I00, Ministerio de Ciencia e Innovación (Spain).Peer reviewedNature Publishing GroupCSIC - Unidad de Recursos de Información Científica para la Investigación (URICI)Ministerio de Ciencia e Innovación (España)Fundación BBVA#NODATA##NODATA##NODATA#Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/387796https://api.elsevier.com/content/abstract/scopus_id/105000420665reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI//FJC2020-044084-Iinfo:eu-repo/grantAgreement/AEI//PID2021-122245NB-I00info:eu-repo/grantAgreement/AEI//PID2021-127373NB-I00Scientific reportshttps://doi.org/10.1038/s41598-025-90095-zSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3877962026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Overcoming the limitations of motion sensor models by considering dendritic computations |
| title |
Overcoming the limitations of motion sensor models by considering dendritic computations |
| spellingShingle |
Overcoming the limitations of motion sensor models by considering dendritic computations Luna, Raúl Dendritic computations Motion perception Motion sensors |
| title_short |
Overcoming the limitations of motion sensor models by considering dendritic computations |
| title_full |
Overcoming the limitations of motion sensor models by considering dendritic computations |
| title_fullStr |
Overcoming the limitations of motion sensor models by considering dendritic computations |
| title_full_unstemmed |
Overcoming the limitations of motion sensor models by considering dendritic computations |
| title_sort |
Overcoming the limitations of motion sensor models by considering dendritic computations |
| dc.creator.none.fl_str_mv |
Luna, Raúl Serrano-Pedraza, Ignacio Bertalmío, Marcelo |
| author |
Luna, Raúl |
| author_facet |
Luna, Raúl Serrano-Pedraza, Ignacio Bertalmío, Marcelo |
| author_role |
author |
| author2 |
Serrano-Pedraza, Ignacio Bertalmío, Marcelo |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
CSIC - Unidad de Recursos de Información Científica para la Investigación (URICI) Ministerio de Ciencia e Innovación (España) Fundación BBVA #NODATA# #NODATA# #NODATA# Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Dendritic computations Motion perception Motion sensors |
| topic |
Dendritic computations Motion perception Motion sensors |
| description |
11 pages, 8 figures |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2025 2025 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/387796 https://api.elsevier.com/content/abstract/scopus_id/105000420665 |
| url |
http://hdl.handle.net/10261/387796 https://api.elsevier.com/content/abstract/scopus_id/105000420665 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
#PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI//FJC2020-044084-I info:eu-repo/grantAgreement/AEI//PID2021-122245NB-I00 info:eu-repo/grantAgreement/AEI//PID2021-127373NB-I00 Scientific reports https://doi.org/10.1038/s41598-025-90095-z Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Nature Publishing Group |
| publisher.none.fl_str_mv |
Nature Publishing Group |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| collection |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869407916165955584 |
| score |
15.811543 |