Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator
In vertebrates, the central nervous system processes sensorial input from surroundings and in most of the cases determines motor responses accordingly. There exist specialized synaptic circuits or neural networks for generating and maintaining periodic motor signals necessary for the animal’s locomo...
- Autores:
-
Hurtado López, Julián
Ramirez-Moreno, David Fernando
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2013
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/14205
- Acceso en línea:
- https://hdl.handle.net/10614/14205
https://red.uao.edu.co/
- Palabra clave:
- Redes neuronales (Computadores)
Neural networks
Dynamical system analysis
Nonlinear dynamics
Hopf bifurcation
Branch point bifurcation
Central pattern generator
- Rights
- openAccess
- License
- Derechos reservados - World Scientific Publishing Company, 2013
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Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator |
| title |
Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator |
| spellingShingle |
Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator Redes neuronales (Computadores) Neural networks Dynamical system analysis Nonlinear dynamics Hopf bifurcation Branch point bifurcation Central pattern generator |
| title_short |
Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator |
| title_full |
Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator |
| title_fullStr |
Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator |
| title_full_unstemmed |
Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator |
| title_sort |
Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator |
| dc.creator.fl_str_mv |
Hurtado López, Julián Ramirez-Moreno, David Fernando |
| dc.contributor.author.none.fl_str_mv |
Hurtado López, Julián Ramirez-Moreno, David Fernando |
| dc.subject.armarc.spa.fl_str_mv |
Redes neuronales (Computadores) |
| topic |
Redes neuronales (Computadores) Neural networks Dynamical system analysis Nonlinear dynamics Hopf bifurcation Branch point bifurcation Central pattern generator |
| dc.subject.proposal.eng.fl_str_mv |
Neural networks Dynamical system analysis Nonlinear dynamics Hopf bifurcation Branch point bifurcation Central pattern generator |
| description |
In vertebrates, the central nervous system processes sensorial input from surroundings and in most of the cases determines motor responses accordingly. There exist specialized synaptic circuits or neural networks for generating and maintaining periodic motor signals necessary for the animal’s locomotion as walking, trotting, running or swimming. Recent works have addressed the study of animal locomotion by modeling the neural networks in charge of controlling the rhythmic movements of legs and motor appendices in bipeds, quadrupeds and hexapods [Kiehn et al., 2008]. These works have been extended to modeling and controlling the movements of legged robots [Teng et al., 2012; Mondal et al., 2011]. These synaptic circuits and neural networks or central pattern generators (CPG) [McCrea & Rybak, 2008] exhibit a nonlinear dynamics leading to nonlinear oscillations. |
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2013 |
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2013 |
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2022-08-23T14:38:33Z |
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2022-08-23T14:38:33Z |
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Artículo de revista |
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https://hdl.handle.net/10614/14205 |
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Universidad Autónoma de Occidente |
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Repositorio Educativo Digital |
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https://red.uao.edu.co/ |
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eng |
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| dc.relation.cites.eng.fl_str_mv |
Hurtado López, J., Ramírez Moreno, D. F. (2013). Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator. International Journal of Bifurcation and Chaos. 23 (8), 1-12. https://www.researchgate.net/publication/256731166_Nonlinear_Dynamics_of_An_Oscillatory_Neural_Network_Acting_as_a_Motor_Central_Pattern_Generator/link/004635267c452c8a71000000/download |
| dc.relation.ispartofjournal.eng.fl_str_mv |
International Journal of Bifurcation and Chaos |
| dc.relation.references.none.fl_str_mv |
Borgmann, A., Hooper, S. L. & B¨uschges, A. [2009] “Sensory feedback induced by front-leg stepping entrains the activity of central pattern generators in caudal segments of the stick insect walking system,” J. Neurosci. 29, 2972–2983 Borisyuk, G. N., Borisyuk, R. M., Khibnik, A. I. & Roose, D. [1995] “Dynamics and bifurcations of two coupled neural oscillators with different connection types,” Bull. Math. Biol. 57, 809–840. Golubitsky, M. & Stewart, I. [2006] “Nonlinear dynamics of networks: The groupoid formalism,” Bull. Amer. Math. Soc. 43, 305–364 Ijspeert, A. J. [2008] “Central pattern generators for locomotion control in animals and robots: A review,” Neural Networks 21, 642–653 Kiehn, O., Quinlan, K. A., Restrepo, C. E., Lundfald, L., Borgius, L., Talpalar, A. E. & Endo, T. [2008] “Excitatory components of the mammalian locomotor CPG,” Brain Res. Rev. 57, 56–63 McCrea, D. A. & Rybak, I. A. [2008] “Organization of mammalian locomotor rhythm and pattern generation,” Brain Res. Rev. 57, 134–146 Teng, L., Wu, X., Chen, W. & Wang, J. [2012] “Central pattern generators of adaptive frequency for locomotion control of quadruped robots,” 2012 10th IEEE Int. Conf. Industrial Informatics (INDIN ), pp. 586– 590 Ueta, T. & Chen, G. [2003] “On synchronization and control of coupled Wilson–Cowan neural oscillators,” Int. J. Bifurcation and Chaos 13, 163 Wright, T. M. M. & Calabrese, R. L. [2011] “Patterns of presynaptic activity and synaptic strength interact to produce motor output,” J. Neurosci. 31, 17555– 17571. |
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Derechos reservados - World Scientific Publishing Company, 2013 |
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Hurtado López, Juliánvirtual::2358-1Ramirez-Moreno, David Fernando16bf18aae8328ea4ee189b2effbb615d2022-08-23T14:38:33Z2022-08-23T14:38:33Z201302181274https://hdl.handle.net/10614/14205Universidad Autónoma de OccidenteRepositorio Educativo Digitalhttps://red.uao.edu.co/In vertebrates, the central nervous system processes sensorial input from surroundings and in most of the cases determines motor responses accordingly. There exist specialized synaptic circuits or neural networks for generating and maintaining periodic motor signals necessary for the animal’s locomotion as walking, trotting, running or swimming. Recent works have addressed the study of animal locomotion by modeling the neural networks in charge of controlling the rhythmic movements of legs and motor appendices in bipeds, quadrupeds and hexapods [Kiehn et al., 2008]. These works have been extended to modeling and controlling the movements of legged robots [Teng et al., 2012; Mondal et al., 2011]. These synaptic circuits and neural networks or central pattern generators (CPG) [McCrea & Rybak, 2008] exhibit a nonlinear dynamics leading to nonlinear oscillations.12 páginasapplication/pdfengWorld Scientific Publishing CompanyDerechos reservados - World Scientific Publishing Company, 2013https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generatorArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Redes neuronales (Computadores)Neural networksDynamical system analysisNonlinear dynamicsHopf bifurcationBranch point bifurcationCentral pattern generator128123Hurtado López, J., Ramírez Moreno, D. F. (2013). Nonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator. International Journal of Bifurcation and Chaos. 23 (8), 1-12. https://www.researchgate.net/publication/256731166_Nonlinear_Dynamics_of_An_Oscillatory_Neural_Network_Acting_as_a_Motor_Central_Pattern_Generator/link/004635267c452c8a71000000/downloadInternational Journal of Bifurcation and ChaosBorgmann, A., Hooper, S. L. & B¨uschges, A. [2009] “Sensory feedback induced by front-leg stepping entrains the activity of central pattern generators in caudal segments of the stick insect walking system,” J. Neurosci. 29, 2972–2983Borisyuk, G. N., Borisyuk, R. M., Khibnik, A. I. & Roose, D. [1995] “Dynamics and bifurcations of two coupled neural oscillators with different connection types,” Bull. Math. Biol. 57, 809–840.Golubitsky, M. & Stewart, I. [2006] “Nonlinear dynamics of networks: The groupoid formalism,” Bull. Amer. Math. Soc. 43, 305–364Ijspeert, A. J. [2008] “Central pattern generators for locomotion control in animals and robots: A review,” Neural Networks 21, 642–653Kiehn, O., Quinlan, K. A., Restrepo, C. E., Lundfald, L., Borgius, L., Talpalar, A. E. & Endo, T. [2008] “Excitatory components of the mammalian locomotor CPG,” Brain Res. Rev. 57, 56–63McCrea, D. A. & Rybak, I. A. [2008] “Organization of mammalian locomotor rhythm and pattern generation,” Brain Res. Rev. 57, 134–146Teng, L., Wu, X., Chen, W. & Wang, J. [2012] “Central pattern generators of adaptive frequency for locomotion control of quadruped robots,” 2012 10th IEEE Int. Conf. Industrial Informatics (INDIN ), pp. 586– 590Ueta, T. & Chen, G. [2003] “On synchronization and control of coupled Wilson–Cowan neural oscillators,” Int. J. Bifurcation and Chaos 13, 163Wright, T. M. M. & Calabrese, R. L. [2011] “Patterns of presynaptic activity and synaptic strength interact to produce motor output,” J. Neurosci. 31, 17555– 17571.Comunidad universitaria en generalPublication77636374-92e2-4d63-9b49-bdb0a2ea1182virtual::2358-177636374-92e2-4d63-9b49-bdb0a2ea1182virtual::2358-1https://scholar.google.com/citations?user=7Pqx31YAAAAJ&hl=esvirtual::2358-10000-0002-3773-0598virtual::2358-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000828963virtual::2358-1LICENSElicense.txtlicense.txttext/plain; charset=utf-81665https://red.uao.edu.co/bitstreams/6d8da5a9-91d1-4708-b559-92af0533d3b9/download20b5ba22b1117f71589c7318baa2c560MD52ORIGINALNonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator.pdfNonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator.pdfTexto archivo completo del artículo de revista, PDFapplication/pdf1076943https://red.uao.edu.co/bitstreams/5f4298ed-310c-412c-b46d-631d15503aa2/downloadce459e7c4959dc222b61c8a91751b6aeMD53TEXTNonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator.pdf.txtNonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator.pdf.txtExtracted texttext/plain26355https://red.uao.edu.co/bitstreams/55fa8dfe-b2a3-4d92-b8b0-98d91c0e6f6a/downloadac7c588f90ab21fb83e1d215b9f65771MD54THUMBNAILNonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator.pdf.jpgNonlinear dynamics of an oscilattory neural network acting as a motor central pettern generator.pdf.jpgGenerated Thumbnailimage/jpeg12639https://red.uao.edu.co/bitstreams/3dd6749a-b3c0-4a13-853d-c832aab816eb/downloadc42af079f0eba4463fffe97e68af250aMD5510614/14205oai:red.uao.edu.co:10614/142052024-03-06 15:02:45.068https://creativecommons.org/licenses/by-nc-nd/4.0/Derechos reservados - World Scientific Publishing Company, 2013open.accesshttps://red.uao.edu.coRepositorio Digital Universidad Autonoma de Occidenterepositorio@uao.edu.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 |