Dynamics of a neural circuit that mediates social and nonsocial behaviors

We describe a neural network model of the mouse amygdala and hypothalamus that is able to support competitive interactions between social and grooming behaviors, as well as basic findings about how these behaviors are modulated by light stimulation. The model is built on attractor network dynamics a...

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Autores:
Hurtado López, Julián
Ramírez Moreno, David Fernando
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
eng
OAI Identifier:
oai:red.uao.edu.co:10614/13563
Acceso en línea:
https://hdl.handle.net/10614/13563
Palabra clave:
Teoría de la bifurcación
Redes neuronales (Neurobiología)
Modelos matemáticos
Bifurcation theory
Neural networks (Neurobiology)
Mathematical models
Bifurcation analysis
Boundary equilibrium bifurcation
Decision-making mechanisms
Mounting and attack circuits
Grooming circuits
Rights
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
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repository_id_str
dc.title.eng.fl_str_mv Dynamics of a neural circuit that mediates social and nonsocial behaviors
title Dynamics of a neural circuit that mediates social and nonsocial behaviors
spellingShingle Dynamics of a neural circuit that mediates social and nonsocial behaviors
Teoría de la bifurcación
Redes neuronales (Neurobiología)
Modelos matemáticos
Bifurcation theory
Neural networks (Neurobiology)
Mathematical models
Bifurcation analysis
Boundary equilibrium bifurcation
Decision-making mechanisms
Mounting and attack circuits
Grooming circuits
title_short Dynamics of a neural circuit that mediates social and nonsocial behaviors
title_full Dynamics of a neural circuit that mediates social and nonsocial behaviors
title_fullStr Dynamics of a neural circuit that mediates social and nonsocial behaviors
title_full_unstemmed Dynamics of a neural circuit that mediates social and nonsocial behaviors
title_sort Dynamics of a neural circuit that mediates social and nonsocial behaviors
dc.creator.fl_str_mv Hurtado López, Julián
Ramírez Moreno, David Fernando
dc.contributor.author.none.fl_str_mv Hurtado López, Julián
Ramírez Moreno, David Fernando
dc.contributor.corporatename.spa.fl_str_mv World Scientific
dc.subject.armarc.spa.fl_str_mv Teoría de la bifurcación
Redes neuronales (Neurobiología)
Modelos matemáticos
topic Teoría de la bifurcación
Redes neuronales (Neurobiología)
Modelos matemáticos
Bifurcation theory
Neural networks (Neurobiology)
Mathematical models
Bifurcation analysis
Boundary equilibrium bifurcation
Decision-making mechanisms
Mounting and attack circuits
Grooming circuits
dc.subject.armarc.eng.fl_str_mv Bifurcation theory
Neural networks (Neurobiology)
Mathematical models
dc.subject.proposal.eng.fl_str_mv Bifurcation analysis
Boundary equilibrium bifurcation
Decision-making mechanisms
Mounting and attack circuits
Grooming circuits
description We describe a neural network model of the mouse amygdala and hypothalamus that is able to support competitive interactions between social and grooming behaviors, as well as basic findings about how these behaviors are modulated by light stimulation. The model is built on attractor network dynamics and involves mutual inhibition among different populations of neurons. Simulation results are found to be consistent with some experimental observations such as scalable control of social behaviors and opponent control of social and nonsocial behaviors. Bifurcation analysis is applied in order to understand the dynamical basis of state transitions and to show the dynamics emergent from the model. We conclude that this study also provides some mechanistic insights of behavioral state transitions
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2022-01-21T16:21:13Z
dc.date.available.none.fl_str_mv 2022-01-21T16:21:13Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.none.fl_str_mv 02181274
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10614/13563
identifier_str_mv 02181274
url https://hdl.handle.net/10614/13563
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.citationedition.spa.fl_str_mv Volumen 29, número 10 (2019)
dc.relation.citationissue.spa.fl_str_mv 10
dc.relation.citationvolume.spa.fl_str_mv 29
dc.relation.cites.eng.fl_str_mv Hurtado López, J., Ramirez Moreno, D. F. (2019). Dynamics of a neural circuit that mediates social and nonsocial behaviors. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. World Scientific. (Vol.29 (10), pp. 138-266. https://www.worldscientific.com/doi/epdf/10.1142/S0218127419501384
dc.relation.ispartofjournal.eng.fl_str_mv International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
dc.relation.references.none.fl_str_mv Altmann, J. [1974] “ Observational study of behavior: Sampling methods,” Behaviour 49, 227–266
Bergan, J. F., Ben-Shaul, Y. & Dulac, C. [2014] “ Sex-specific processing of social cues in the medial amygdala,” eLife 3, e02743
Berton, O., Ramos, A., Chaouloff, F. & Morméde, P. [1997] “ Behavioral reactivity to social and nonsocial stimulations: A multivariate analysis of six inbred rat strains,” Behav. Genet. 27, 155–166
hoi, G. B., Dong, H.-W., Murphy, A. J., Valenzuela, D. M., Yancopoulos, G. D., Swanson, L. W. & Anderson, D. J. [2005] “ Lhx6 delineates a pathway mediating innate reproductive behaviors from the amygdala to the hypothalamus,” Neuron 46, 647–660
Dhooge, A., Govaerts, W. & Kuznetsov, Y. A. [2003] “ Matcont: A matlab package for numerical bifurcation analysis of ODEs,” ACM Trans. Math. Softw. 29, 141–164
di Bernardo, M., Budd, C., Champneys, A. & Kowalczyk, P. [2008a] Piecewise-Smooth Dynamical Systems: Theory and Applications, Applied Mathematical Sciences (Springer)
Hong, W., Kim, D.-W. & Anderson, D. J. [2014] “ Antagonistic control of social versus repetitive self-grooming behaviors by separable amygdala neuronal subsets,” Cell 158, 1348–1361
Hurtado-López, J., Ramírez-Moreno, D. F. & Sejnowski, T. J. [2017] “ Decision-making neural circuits mediating social behaviors. An attractor network model,” J. Comput. Neurosci., in press, https://doi.org/10.1007/s10827-017-0654-8.
Kennedy, A., Asahina, K., Hoopfer, E., Inagaki, H., Jung, Y., Lee, H., Remedios, R. & Anderson, D. J. [2015] “ Internal states and behavioral decision-making: Toward an integration of emotion and cognition,” Cold Spring Harb. Symp. Quant. Biol. 79, 199–210
Lee, H., Kim, D.-W., Remedios, R., Anthony, T. E., Chang, A., Madisen, L., Zeng, H. & Anderson, D. J. [2014] “ Scalable control of mounting and attack by ESR1+ neurons in the ventromedial hypothalamus,” Nature 509, 627–632
Swanson, L. W. [2000] “ Cerebral hemisphere regulation of motivated behavior1,” Brain Res. 886, 113–164, towards 2010, A Brain Odyssey, The 3rd Brain Research Interactive
Newman, S. W. [1999] “ The medial extended amygdala in male reproductive behavior a node in the mammalian social behavior network,” Ann. NY Acad. Sci. 877, 242–257
Wang, X.-J. [2009] “ Attractor network models,” Encyclopedia of Neuroscience, ed. Squire, L. R. (Academic Press, Oxford), pp. 667–679.
Wood, R. I. [1996] “ Estradiol, but not dihydrotestosterone, in the medial amygdala facilitates male hamster sex behavior,” Physiol. Behav. 59, 833–841
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spelling Hurtado López, Juliánvirtual::2353-1Ramírez Moreno, David Fernandovirtual::4315-1World Scientific2022-01-21T16:21:13Z2022-01-21T16:21:13Z201902181274https://hdl.handle.net/10614/13563We describe a neural network model of the mouse amygdala and hypothalamus that is able to support competitive interactions between social and grooming behaviors, as well as basic findings about how these behaviors are modulated by light stimulation. The model is built on attractor network dynamics and involves mutual inhibition among different populations of neurons. Simulation results are found to be consistent with some experimental observations such as scalable control of social behaviors and opponent control of social and nonsocial behaviors. Bifurcation analysis is applied in order to understand the dynamical basis of state transitions and to show the dynamics emergent from the model. We conclude that this study also provides some mechanistic insights of behavioral state transitionsapplication/pdfenghttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/ClossedAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2https://www.worldscientific.com/doi/epdf/10.1142/S0218127419501384Dynamics of a neural circuit that mediates social and nonsocial behaviorsArtículo 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_970fb48d4fbd8a85Teoría de la bifurcaciónRedes neuronales (Neurobiología)Modelos matemáticosBifurcation theoryNeural networks (Neurobiology)Mathematical modelsBifurcation analysisBoundary equilibrium bifurcationDecision-making mechanismsMounting and attack circuitsGrooming circuitsVolumen 29, número 10 (2019)1029Hurtado López, J., Ramirez Moreno, D. F. (2019). Dynamics of a neural circuit that mediates social and nonsocial behaviors. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. World Scientific. (Vol.29 (10), pp. 138-266. https://www.worldscientific.com/doi/epdf/10.1142/S0218127419501384International Journal of Bifurcation and Chaos in Applied Sciences and EngineeringAltmann, J. [1974] “ Observational study of behavior: Sampling methods,” Behaviour 49, 227–266Bergan, J. F., Ben-Shaul, Y. & Dulac, C. [2014] “ Sex-specific processing of social cues in the medial amygdala,” eLife 3, e02743Berton, O., Ramos, A., Chaouloff, F. & Morméde, P. [1997] “ Behavioral reactivity to social and nonsocial stimulations: A multivariate analysis of six inbred rat strains,” Behav. Genet. 27, 155–166hoi, G. B., Dong, H.-W., Murphy, A. J., Valenzuela, D. M., Yancopoulos, G. D., Swanson, L. W. & Anderson, D. J. [2005] “ Lhx6 delineates a pathway mediating innate reproductive behaviors from the amygdala to the hypothalamus,” Neuron 46, 647–660Dhooge, A., Govaerts, W. & Kuznetsov, Y. A. [2003] “ Matcont: A matlab package for numerical bifurcation analysis of ODEs,” ACM Trans. Math. Softw. 29, 141–164di Bernardo, M., Budd, C., Champneys, A. & Kowalczyk, P. [2008a] Piecewise-Smooth Dynamical Systems: Theory and Applications, Applied Mathematical Sciences (Springer)Hong, W., Kim, D.-W. & Anderson, D. J. [2014] “ Antagonistic control of social versus repetitive self-grooming behaviors by separable amygdala neuronal subsets,” Cell 158, 1348–1361Hurtado-López, J., Ramírez-Moreno, D. F. & Sejnowski, T. J. [2017] “ Decision-making neural circuits mediating social behaviors. An attractor network model,” J. Comput. Neurosci., in press, https://doi.org/10.1007/s10827-017-0654-8.Kennedy, A., Asahina, K., Hoopfer, E., Inagaki, H., Jung, Y., Lee, H., Remedios, R. & Anderson, D. J. [2015] “ Internal states and behavioral decision-making: Toward an integration of emotion and cognition,” Cold Spring Harb. Symp. Quant. Biol. 79, 199–210Lee, H., Kim, D.-W., Remedios, R., Anthony, T. E., Chang, A., Madisen, L., Zeng, H. & Anderson, D. J. [2014] “ Scalable control of mounting and attack by ESR1+ neurons in the ventromedial hypothalamus,” Nature 509, 627–632Swanson, L. W. [2000] “ Cerebral hemisphere regulation of motivated behavior1,” Brain Res. 886, 113–164, towards 2010, A Brain Odyssey, The 3rd Brain Research InteractiveNewman, S. W. [1999] “ The medial extended amygdala in male reproductive behavior a node in the mammalian social behavior network,” Ann. NY Acad. Sci. 877, 242–257Wang, X.-J. [2009] “ Attractor network models,” Encyclopedia of Neuroscience, ed. Squire, L. R. (Academic Press, Oxford), pp. 667–679.Wood, R. I. [1996] “ Estradiol, but not dihydrotestosterone, in the medial amygdala facilitates male hamster sex behavior,” Physiol. 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