Editorial: Emerging talents in neuromorphic engineering

This Research Topic provides a platform to highlight the outstanding contributions of emerging talents in the field of neuromorphic engineering. Through this dedicated series, we aim to showcase the promising work of student researchers within Neuromorphic Engineering.

Detalhes bibliográficos
Autores: Rostro González, Horacio, Domínguez Morales, Juan Pedro, Girau, Bernard, Pérez-Peña, Fernando
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/169856
Acesso em linha:https://hdl.handle.net/11441/169856
https://doi.org/10.3389/fnins.2024.1386712
Access Level:acceso abierto
Palavra-chave:Neuromorphic engineering
Event-based image sensor
Spiking Neural Network (SNN)
Gradient-based method
Neuro-inspired computing
Loihi
Oscillatory neural network
id ES_f34b83818e2ebd05f67bfa02f08ff1c6
oai_identifier_str oai:idus.us.es:11441/169856
network_acronym_str ES
network_name_str España
repository_id_str
spelling Editorial: Emerging talents in neuromorphic engineeringRostro González, HoracioDomínguez Morales, Juan PedroGirau, BernardPérez-Peña, FernandoNeuromorphic engineeringEvent-based image sensorSpiking Neural Network (SNN)Gradient-based methodNeuro-inspired computingLoihiOscillatory neural networkThis Research Topic provides a platform to highlight the outstanding contributions of emerging talents in the field of neuromorphic engineering. Through this dedicated series, we aim to showcase the promising work of student researchers within Neuromorphic Engineering.Frontiers MediaArquitectura y Tecnología de ComputadoresTEP108: Robótica y Tecnología de Computadores2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/169856https://doi.org/10.3389/fnins.2024.1386712reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)Ingléshttps://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2024.1386712/fullinfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/1698562026-06-17T12:51:07Z
dc.title.none.fl_str_mv Editorial: Emerging talents in neuromorphic engineering
title Editorial: Emerging talents in neuromorphic engineering
spellingShingle Editorial: Emerging talents in neuromorphic engineering
Rostro González, Horacio
Neuromorphic engineering
Event-based image sensor
Spiking Neural Network (SNN)
Gradient-based method
Neuro-inspired computing
Loihi
Oscillatory neural network
title_short Editorial: Emerging talents in neuromorphic engineering
title_full Editorial: Emerging talents in neuromorphic engineering
title_fullStr Editorial: Emerging talents in neuromorphic engineering
title_full_unstemmed Editorial: Emerging talents in neuromorphic engineering
title_sort Editorial: Emerging talents in neuromorphic engineering
dc.creator.none.fl_str_mv Rostro González, Horacio
Domínguez Morales, Juan Pedro
Girau, Bernard
Pérez-Peña, Fernando
author Rostro González, Horacio
author_facet Rostro González, Horacio
Domínguez Morales, Juan Pedro
Girau, Bernard
Pérez-Peña, Fernando
author_role author
author2 Domínguez Morales, Juan Pedro
Girau, Bernard
Pérez-Peña, Fernando
author2_role author
author
author
dc.contributor.none.fl_str_mv Arquitectura y Tecnología de Computadores
TEP108: Robótica y Tecnología de Computadores
dc.subject.none.fl_str_mv Neuromorphic engineering
Event-based image sensor
Spiking Neural Network (SNN)
Gradient-based method
Neuro-inspired computing
Loihi
Oscillatory neural network
topic Neuromorphic engineering
Event-based image sensor
Spiking Neural Network (SNN)
Gradient-based method
Neuro-inspired computing
Loihi
Oscillatory neural network
description This Research Topic provides a platform to highlight the outstanding contributions of emerging talents in the field of neuromorphic engineering. Through this dedicated series, we aim to showcase the promising work of student researchers within Neuromorphic Engineering.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/169856
https://doi.org/10.3389/fnins.2024.1386712
url https://hdl.handle.net/11441/169856
https://doi.org/10.3389/fnins.2024.1386712
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2024.1386712/full
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869424363763138560
score 15,81155