An excitable electronic circuit as a sensory neuron model

Autores
Medeiros, Bruno N. S.; Minces, Victor; Mindlin, Bernardo Gabriel; Copelli, Mauro; Leite, José R. Rios
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An electronic circuit device, inspired on the FitzHughNagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. The nonlinear dynamical model of the electronics quantitatively reproduces the experimental observations on the circuit, including the Hopf bifurcation at the onset of tonic spiking. Moreover, we have implemented an analog noise generator as a source to study the variability of the spike trains. When the circuit is in the excitable regime, coherence resonance is observed. At sufficiently low noise intensity the spike trains have Poisson statistics, as in many biological neurons. The transfer function of the stochastic spike trains has a dynamic range of 6 dB, close to experimental values for real olfactory receptor neurons. © 2012 World Scientific Publishing Company.
Fil: Medeiros, Bruno N. S.. Universidade Federal de Pernambuco; Brasil
Fil: Minces, Victor. University of California at San Diego; Estados Unidos
Fil: Mindlin, Bernardo Gabriel. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Copelli, Mauro. Universidade Federal de Pernambuco; Brasil
Fil: Leite, José R. Rios. Universidade Federal de Pernambuco; Brasil
Materia
Coherence Resonance
Dynamic Range
Electronic Circuit
Excitable Element
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:11336/55966
Acceder
id CONICETDig_07039d84f450b1eaf997b4ee53636b9a
oai_identifier_str oai:ri.conicet.gov.ar:11336/55966
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An excitable electronic circuit as a sensory neuron modelMedeiros, Bruno N. S.Minces, VictorMindlin, Bernardo GabrielCopelli, MauroLeite, José R. RiosCoherence ResonanceDynamic RangeElectronic CircuitExcitable Elementhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1An electronic circuit device, inspired on the FitzHughNagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. The nonlinear dynamical model of the electronics quantitatively reproduces the experimental observations on the circuit, including the Hopf bifurcation at the onset of tonic spiking. Moreover, we have implemented an analog noise generator as a source to study the variability of the spike trains. When the circuit is in the excitable regime, coherence resonance is observed. At sufficiently low noise intensity the spike trains have Poisson statistics, as in many biological neurons. The transfer function of the stochastic spike trains has a dynamic range of 6 dB, close to experimental values for real olfactory receptor neurons. © 2012 World Scientific Publishing Company.Fil: Medeiros, Bruno N. S.. Universidade Federal de Pernambuco; BrasilFil: Minces, Victor. University of California at San Diego; Estados UnidosFil: Mindlin, Bernardo Gabriel. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Copelli, Mauro. Universidade Federal de Pernambuco; BrasilFil: Leite, José R. Rios. Universidade Federal de Pernambuco; BrasilWorld Scientific2012-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/55966Medeiros, Bruno N. S.; Minces, Victor; Mindlin, Bernardo Gabriel; Copelli, Mauro; Leite, José R. Rios; An excitable electronic circuit as a sensory neuron model; World Scientific; International Journal Of Bifurcation And Chaos; 22; 10; 10-2012; 1-90218-1274CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1142/S0218127412502446info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:09:37Zoai:ri.conicet.gov.ar:11336/55966instacron: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:34982025-09-03 10:09:37.925CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An excitable electronic circuit as a sensory neuron model
title An excitable electronic circuit as a sensory neuron model
spellingShingle An excitable electronic circuit as a sensory neuron model
Medeiros, Bruno N. S.
Coherence Resonance
Dynamic Range
Electronic Circuit
Excitable Element
title_short An excitable electronic circuit as a sensory neuron model
title_full An excitable electronic circuit as a sensory neuron model
title_fullStr An excitable electronic circuit as a sensory neuron model
title_full_unstemmed An excitable electronic circuit as a sensory neuron model
title_sort An excitable electronic circuit as a sensory neuron model
dc.creator.none.fl_str_mv Medeiros, Bruno N. S.
Minces, Victor
Mindlin, Bernardo Gabriel
Copelli, Mauro
Leite, José R. Rios
author Medeiros, Bruno N. S.
author_facet Medeiros, Bruno N. S.
Minces, Victor
Mindlin, Bernardo Gabriel
Copelli, Mauro
Leite, José R. Rios
author_role author
author2 Minces, Victor
Mindlin, Bernardo Gabriel
Copelli, Mauro
Leite, José R. Rios
author2_role author
author
author
author
dc.subject.none.fl_str_mv Coherence Resonance
Dynamic Range
Electronic Circuit
Excitable Element
topic Coherence Resonance
Dynamic Range
Electronic Circuit
Excitable Element
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv An electronic circuit device, inspired on the FitzHughNagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. The nonlinear dynamical model of the electronics quantitatively reproduces the experimental observations on the circuit, including the Hopf bifurcation at the onset of tonic spiking. Moreover, we have implemented an analog noise generator as a source to study the variability of the spike trains. When the circuit is in the excitable regime, coherence resonance is observed. At sufficiently low noise intensity the spike trains have Poisson statistics, as in many biological neurons. The transfer function of the stochastic spike trains has a dynamic range of 6 dB, close to experimental values for real olfactory receptor neurons. © 2012 World Scientific Publishing Company.
Fil: Medeiros, Bruno N. S.. Universidade Federal de Pernambuco; Brasil
Fil: Minces, Victor. University of California at San Diego; Estados Unidos
Fil: Mindlin, Bernardo Gabriel. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Copelli, Mauro. Universidade Federal de Pernambuco; Brasil
Fil: Leite, José R. Rios. Universidade Federal de Pernambuco; Brasil
description An electronic circuit device, inspired on the FitzHughNagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. The nonlinear dynamical model of the electronics quantitatively reproduces the experimental observations on the circuit, including the Hopf bifurcation at the onset of tonic spiking. Moreover, we have implemented an analog noise generator as a source to study the variability of the spike trains. When the circuit is in the excitable regime, coherence resonance is observed. At sufficiently low noise intensity the spike trains have Poisson statistics, as in many biological neurons. The transfer function of the stochastic spike trains has a dynamic range of 6 dB, close to experimental values for real olfactory receptor neurons. © 2012 World Scientific Publishing Company.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
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/11336/55966
Medeiros, Bruno N. S.; Minces, Victor; Mindlin, Bernardo Gabriel; Copelli, Mauro; Leite, José R. Rios; An excitable electronic circuit as a sensory neuron model; World Scientific; International Journal Of Bifurcation And Chaos; 22; 10; 10-2012; 1-9
0218-1274
CONICET Digital
CONICET
url http://hdl.handle.net/11336/55966
identifier_str_mv Medeiros, Bruno N. S.; Minces, Victor; Mindlin, Bernardo Gabriel; Copelli, Mauro; Leite, José R. Rios; An excitable electronic circuit as a sensory neuron model; World Scientific; International Journal Of Bifurcation And Chaos; 22; 10; 10-2012; 1-9
0218-1274
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1142/S0218127412502446
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 World Scientific
publisher.none.fl_str_mv World Scientific
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_ 1842270088708751360
score 13.13397

Publicaciones similares