Nonlinear electronic circuit with neuron like bursting and spiking dynamics

Autores
Savino, Guillermo Vicente; Formigli Rodriguez, Carlos Manuel
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
It is difficult to design electronic nonlinear devices capable of reproducing complex oscillations because of the lack of general constructive rules, and because of stability problems related to the dynamical robustness of the circuits. This is particularly true for current analog electronic circuits that implement mathematical models of bursting and spiking neurons. Here we describe a novel, four-dimensional and dynamically robust nonlinear analog electronic circuit that is intrinsic excitable, and that displays frequency adaptation bursting and spiking oscillations. Despite differences from the classical Hodgkin–Huxley (HH) neuron model, its bifurcation sequences and dynamical properties are preserved, validating the circuit as a neuron model. The circuit's performance is based on a nonlinear interaction of fast–slow circuit blocks that can be clearly dissected, elucidating burst's starting, sustaining and stopping mechanisms, which may also operate in real neurons. Our analog circuit unit is easily linked and may be useful in building networks that perform in real-time.
Fil: Savino, Guillermo Vicente. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina
Fil: Formigli Rodriguez, Carlos Manuel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina
Materia
Burster
Frequency
Bifurcation
Neuron
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:11336/78048

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spelling Nonlinear electronic circuit with neuron like bursting and spiking dynamicsSavino, Guillermo VicenteFormigli Rodriguez, Carlos ManuelBursterFrequencyBifurcationNeuronhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2It is difficult to design electronic nonlinear devices capable of reproducing complex oscillations because of the lack of general constructive rules, and because of stability problems related to the dynamical robustness of the circuits. This is particularly true for current analog electronic circuits that implement mathematical models of bursting and spiking neurons. Here we describe a novel, four-dimensional and dynamically robust nonlinear analog electronic circuit that is intrinsic excitable, and that displays frequency adaptation bursting and spiking oscillations. Despite differences from the classical Hodgkin–Huxley (HH) neuron model, its bifurcation sequences and dynamical properties are preserved, validating the circuit as a neuron model. The circuit's performance is based on a nonlinear interaction of fast–slow circuit blocks that can be clearly dissected, elucidating burst's starting, sustaining and stopping mechanisms, which may also operate in real neurons. Our analog circuit unit is easily linked and may be useful in building networks that perform in real-time.Fil: Savino, Guillermo Vicente. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Formigli Rodriguez, Carlos Manuel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; ArgentinaElsevier2009-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/78048Savino, Guillermo Vicente; Formigli Rodriguez, Carlos Manuel; Nonlinear electronic circuit with neuron like bursting and spiking dynamics; Elsevier; Biosystems; 97; 7-2009; 9-140303-2647CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0303264709000483/pdfft?md5=9f2b38a69f32756882518c24cf7814e6&pid=1-s2.0-S0303264709000483-main.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.biosystems.2009.03.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:01:47Zoai:ri.conicet.gov.ar:11336/78048instacron: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 10:01:47.756CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Nonlinear electronic circuit with neuron like bursting and spiking dynamics
title Nonlinear electronic circuit with neuron like bursting and spiking dynamics
spellingShingle Nonlinear electronic circuit with neuron like bursting and spiking dynamics
Savino, Guillermo Vicente
Burster
Frequency
Bifurcation
Neuron
title_short Nonlinear electronic circuit with neuron like bursting and spiking dynamics
title_full Nonlinear electronic circuit with neuron like bursting and spiking dynamics
title_fullStr Nonlinear electronic circuit with neuron like bursting and spiking dynamics
title_full_unstemmed Nonlinear electronic circuit with neuron like bursting and spiking dynamics
title_sort Nonlinear electronic circuit with neuron like bursting and spiking dynamics
dc.creator.none.fl_str_mv Savino, Guillermo Vicente
Formigli Rodriguez, Carlos Manuel
author Savino, Guillermo Vicente
author_facet Savino, Guillermo Vicente
Formigli Rodriguez, Carlos Manuel
author_role author
author2 Formigli Rodriguez, Carlos Manuel
author2_role author
dc.subject.none.fl_str_mv Burster
Frequency
Bifurcation
Neuron
topic Burster
Frequency
Bifurcation
Neuron
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv It is difficult to design electronic nonlinear devices capable of reproducing complex oscillations because of the lack of general constructive rules, and because of stability problems related to the dynamical robustness of the circuits. This is particularly true for current analog electronic circuits that implement mathematical models of bursting and spiking neurons. Here we describe a novel, four-dimensional and dynamically robust nonlinear analog electronic circuit that is intrinsic excitable, and that displays frequency adaptation bursting and spiking oscillations. Despite differences from the classical Hodgkin–Huxley (HH) neuron model, its bifurcation sequences and dynamical properties are preserved, validating the circuit as a neuron model. The circuit's performance is based on a nonlinear interaction of fast–slow circuit blocks that can be clearly dissected, elucidating burst's starting, sustaining and stopping mechanisms, which may also operate in real neurons. Our analog circuit unit is easily linked and may be useful in building networks that perform in real-time.
Fil: Savino, Guillermo Vicente. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina
Fil: Formigli Rodriguez, Carlos Manuel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina
description It is difficult to design electronic nonlinear devices capable of reproducing complex oscillations because of the lack of general constructive rules, and because of stability problems related to the dynamical robustness of the circuits. This is particularly true for current analog electronic circuits that implement mathematical models of bursting and spiking neurons. Here we describe a novel, four-dimensional and dynamically robust nonlinear analog electronic circuit that is intrinsic excitable, and that displays frequency adaptation bursting and spiking oscillations. Despite differences from the classical Hodgkin–Huxley (HH) neuron model, its bifurcation sequences and dynamical properties are preserved, validating the circuit as a neuron model. The circuit's performance is based on a nonlinear interaction of fast–slow circuit blocks that can be clearly dissected, elucidating burst's starting, sustaining and stopping mechanisms, which may also operate in real neurons. Our analog circuit unit is easily linked and may be useful in building networks that perform in real-time.
publishDate 2009
dc.date.none.fl_str_mv 2009-07
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/11336/78048
Savino, Guillermo Vicente; Formigli Rodriguez, Carlos Manuel; Nonlinear electronic circuit with neuron like bursting and spiking dynamics; Elsevier; Biosystems; 97; 7-2009; 9-14
0303-2647
CONICET Digital
CONICET
url http://hdl.handle.net/11336/78048
identifier_str_mv Savino, Guillermo Vicente; Formigli Rodriguez, Carlos Manuel; Nonlinear electronic circuit with neuron like bursting and spiking dynamics; Elsevier; Biosystems; 97; 7-2009; 9-14
0303-2647
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://www.sciencedirect.com/science/article/pii/S0303264709000483/pdfft?md5=9f2b38a69f32756882518c24cf7814e6&pid=1-s2.0-S0303264709000483-main.pdf
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biosystems.2009.03.005
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 Elsevier
publisher.none.fl_str_mv Elsevier
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
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