Spatiotemporal response of neuronal networks to time-dependent spectral features

Autores
Balenzuela, Pablo; García Ojalvo, Jordi
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, we analyze the behavior of a neuronal network when it is stimulated by a synaptic train current with variable frequency. Using the fact that resonat (type II) neurons have a preferred input frequency, we constructed a network formed by two groups of neurons, each one responding to a different eigenfrequency. We show than even though every neuron is locally connected with neighbors of both groups, only those properly tuned to the input frequency fire synchronically with the incoming signal. In this sense, given a fixed sized network of heterogeneous neurons different subsets respond to the stimulus depending on its frequency. © 2007 American Institute of Physics.
Fil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: García Ojalvo, Jordi. Universidad Politécnica de Catalunya; España
Materia
BRAIN NETWORKS
EPISODIC SYNCHRONIZATION
NEURONS
RESONANCE
SELECTIVE COMMUNICATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/71994
Acceder
id CONICETDig_8af1dd9cbe9e752138c860ab3ebad0e1
oai_identifier_str oai:ri.conicet.gov.ar:11336/71994
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Spatiotemporal response of neuronal networks to time-dependent spectral featuresBalenzuela, PabloGarcía Ojalvo, JordiBRAIN NETWORKSEPISODIC SYNCHRONIZATIONNEURONSRESONANCESELECTIVE COMMUNICATIONhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In this work, we analyze the behavior of a neuronal network when it is stimulated by a synaptic train current with variable frequency. Using the fact that resonat (type II) neurons have a preferred input frequency, we constructed a network formed by two groups of neurons, each one responding to a different eigenfrequency. We show than even though every neuron is locally connected with neighbors of both groups, only those properly tuned to the input frequency fire synchronically with the incoming signal. In this sense, given a fixed sized network of heterogeneous neurons different subsets respond to the stimulus depending on its frequency. © 2007 American Institute of Physics.Fil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: García Ojalvo, Jordi. Universidad Politécnica de Catalunya; EspañaAmerican Institute of Physics (AIP)2007-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/71994Balenzuela, Pablo; García Ojalvo, Jordi; Spatiotemporal response of neuronal networks to time-dependent spectral features; American Institute of Physics (AIP); AIP Conference Proceedings; 913; 12-2007; 178-1830094-243XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://aip.scitation.org/doi/10.1063/1.2746744info:eu-repo/semantics/altIdentifier/doi/10.1063/1.2746744info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:05:47Zoai:ri.conicet.gov.ar:11336/71994instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:05:48.28CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Spatiotemporal response of neuronal networks to time-dependent spectral features
title Spatiotemporal response of neuronal networks to time-dependent spectral features
spellingShingle Spatiotemporal response of neuronal networks to time-dependent spectral features
Balenzuela, Pablo
BRAIN NETWORKS
EPISODIC SYNCHRONIZATION
NEURONS
RESONANCE
SELECTIVE COMMUNICATION
title_short Spatiotemporal response of neuronal networks to time-dependent spectral features
title_full Spatiotemporal response of neuronal networks to time-dependent spectral features
title_fullStr Spatiotemporal response of neuronal networks to time-dependent spectral features
title_full_unstemmed Spatiotemporal response of neuronal networks to time-dependent spectral features
title_sort Spatiotemporal response of neuronal networks to time-dependent spectral features
dc.creator.none.fl_str_mv Balenzuela, Pablo
García Ojalvo, Jordi
author Balenzuela, Pablo
author_facet Balenzuela, Pablo
García Ojalvo, Jordi
author_role author
author2 García Ojalvo, Jordi
author2_role author
dc.subject.none.fl_str_mv BRAIN NETWORKS
EPISODIC SYNCHRONIZATION
NEURONS
RESONANCE
SELECTIVE COMMUNICATION
topic BRAIN NETWORKS
EPISODIC SYNCHRONIZATION
NEURONS
RESONANCE
SELECTIVE COMMUNICATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this work, we analyze the behavior of a neuronal network when it is stimulated by a synaptic train current with variable frequency. Using the fact that resonat (type II) neurons have a preferred input frequency, we constructed a network formed by two groups of neurons, each one responding to a different eigenfrequency. We show than even though every neuron is locally connected with neighbors of both groups, only those properly tuned to the input frequency fire synchronically with the incoming signal. In this sense, given a fixed sized network of heterogeneous neurons different subsets respond to the stimulus depending on its frequency. © 2007 American Institute of Physics.
Fil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: García Ojalvo, Jordi. Universidad Politécnica de Catalunya; España
description In this work, we analyze the behavior of a neuronal network when it is stimulated by a synaptic train current with variable frequency. Using the fact that resonat (type II) neurons have a preferred input frequency, we constructed a network formed by two groups of neurons, each one responding to a different eigenfrequency. We show than even though every neuron is locally connected with neighbors of both groups, only those properly tuned to the input frequency fire synchronically with the incoming signal. In this sense, given a fixed sized network of heterogeneous neurons different subsets respond to the stimulus depending on its frequency. © 2007 American Institute of Physics.
publishDate 2007
dc.date.none.fl_str_mv 2007-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/71994
Balenzuela, Pablo; García Ojalvo, Jordi; Spatiotemporal response of neuronal networks to time-dependent spectral features; American Institute of Physics (AIP); AIP Conference Proceedings; 913; 12-2007; 178-183
0094-243X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/71994
identifier_str_mv Balenzuela, Pablo; García Ojalvo, Jordi; Spatiotemporal response of neuronal networks to time-dependent spectral features; American Institute of Physics (AIP); AIP Conference Proceedings; 913; 12-2007; 178-183
0094-243X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://aip.scitation.org/doi/10.1063/1.2746744
info:eu-repo/semantics/altIdentifier/doi/10.1063/1.2746744
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Institute of Physics (AIP)
publisher.none.fl_str_mv American Institute of Physics (AIP)
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613898844504064
score 13.070432

Publicaciones similares