Spatiotemporal response of neuronal networks to time-dependent spectral features

Autores
Balenzuela, P.; García-Ojalvo, J.
Año de publicación
2007
Idioma
inglés
Tipo de recurso
documento de conferencia
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, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
AIP Conf. Proc. 2007;913:178-183
Materia
Brain networks
Episodic synchronization
Neurons
Resonance
Selective communication
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_0094243X_v913_n_p178_Balenzuela
Acceder
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network_name_str Biblioteca Digital (UBA-FCEN)
spelling Spatiotemporal response of neuronal networks to time-dependent spectral featuresBalenzuela, P.García-Ojalvo, J.Brain networksEpisodic synchronizationNeuronsResonanceSelective communicationIn 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, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2007info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p178_BalenzuelaAIP Conf. Proc. 2007;913:178-183reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-29T13:42:51Zpaperaa:paper_0094243X_v913_n_p178_BalenzuelaInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-29 13:42:52.967Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
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, P.
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, P.
García-Ojalvo, J.
author Balenzuela, P.
author_facet Balenzuela, P.
García-Ojalvo, J.
author_role author
author2 García-Ojalvo, J.
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
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, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
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
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p178_Balenzuela
url http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p178_Balenzuela
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv AIP Conf. Proc. 2007;913:178-183
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
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instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
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