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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/78048
Ver los metadatos del registro completo
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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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1842269718176595968 |
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13.13397 |