Dynamics of a neural circuit that mediates social and nonsocial behaviors

dc.creatorHurtado López, Julián
dc.creatorRamírez Moreno, David Fernando
dc.date.accessioned2019-11-26T15:39:50Z
dc.date.accessioned2022-09-22T18:38:54Z
dc.date.available2019-11-26T15:39:50Z
dc.date.available2022-09-22T18:38:54Z
dc.date.created2019-11-26T15:39:50Z
dc.date.issued2019
dc.identifierHurtado-López, J., & Ramirez-Moreno, D. F. (2019). Dynamics of a Neural Circuit that Mediates Social and Nonsocial Behaviors. International Journal of Bifurcation and Chaos, 29(10), 1950138
dc.identifier2181274
dc.identifierhttp://hdl.handle.net/10614/11576
dc.identifierhttps://www.worldscientific.com/doi/abs/10.1142/S0218127419501384
dc.identifierhttps://doi.org/10.1142/S0218127419501384
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3455851
dc.description.abstractWe 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
dc.languageeng
dc.publisherWorld Scientific Publishing Co.
dc.relationInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering, volumen 29, número 10, páginas 1950138-, 2019
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rightsDerechos Reservados - Universidad Autónoma de Occidente
dc.sourceinstname:Universidad Autónoma de Occidente
dc.sourcereponame:Repositorio Institucional UAO
dc.sourceAltmann, J. [1974] “ Observational study of behavior: Sampling methods,” Behaviour 49, 227–266
dc.sourceBergan, J. F., Ben-Shaul, Y. & Dulac, C. [2014] “ Sex-specific processing of social cues in the medial amygdala,” eLife 3, e02743
dc.sourceBerton, 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
dc.sourceChoi, 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. Crossref
dc.sourceDhooge, A., Govaerts, W. & Kuznetsov, Y. A. [2003] “ Matcont: A matlab package for numerical bifurcation analysis of ODEs,” ACM Trans. Math. Softw. 29, 141–164. Crossref, ISI
dc.sourceDi Bernardo, M., Budd, C., Champneys, A. & Kowalczyk, P. [2008a] Piecewise-Smooth Dynamical Systems: Theory and Applications, Applied Mathematical Sciences (Springer)
dc.sourceDi Bernardo, M., Budd, C. J., Champneys, A. R., Kowalczyk, P., Nordmark, A. B., Tost, G. O. & Piiroinen, P. T. [2008b] “ Bifurcations in nonsmooth dynamical systems,” SIAM Rev. 50, 629–701. Crossref, ISI
dc.sourceDowling, J. E. [2001] Neurons and Networks: An Introduction to Behavioral Neuroscience (Belknap Press of Harvard University Press)
dc.sourceHong, 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
dc.sourceHurtado-López, J. & Ramirez-Moreno, D. F. [2013] “ Nonlinear dynamics of an oscillatory neural network acting as a motor central pattern generator,” Int. J. Bifurcation and Chaos 23, 1350142-1–12
dc.sourceHurtado-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
dc.sourceIzhikevich, E. M. [2000] “ Neural excitability, spiking and bursting,” Int. J. Bifurcation and Chaos 10, 1171–1266. Link, ISI
dc.sourceKennedy, 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
dc.sourceKomorowska, J. & Pellis, S. M. [2004] “ Regulatory mechanisms underlying novelty-induced grooming in the laboratory rat,” Behav. Process. 67, 287–293
dc.sourceKruk, M. R., Westphal, K. G., Erp, A. M. V., van Asperen, J., Cave, B. J., Slater, E., de Koning, J. & Haller, J. [1998] “ The hypothalamus: Cross-roads of endocrine and behavioural regulation in grooming and aggression,” Neurosci. Biobehav. Rev. 23, 163–177
dc.sourceLee, 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
dc.sourceLin, D., Boyle, M. P., Dollar, P., Lee, H., Lein, E. S., Perona, P. & Anderson, D. J. [2011] “ Functional identification of an aggression locus in the mouse hypothalamus,” Nature 470, 221–226
dc.sourceNelson, R. J. & Trainor, B. C. [2007] “ Neural mechanisms of aggression,” Nat. Rev. Neurosci. 8, 536–546
dc.sourceNewman, 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
dc.sourceRoeling, T., Veening, J., Peters, J., Vermelis, M. & Nieuwenhuys, R. [1993] “ Efferent connections of the hypothalamic ‘grooming area’ in the rat,” Neuroscience 56, 199–225
dc.sourceSokolowski, K. & Corbin, J. G. [2012] “ Wired for behavior: From development to function of innate limbic system circuitry,” Front. Molecul. Neurosci
dc.sourceSwanson, L. W. [2000] “ Cerebral hemisphere regulation of motivated behavior1,” Brain Res. 886, 113–164, towards 2010, A Brain Odyssey, The 3rd Brain Research Interactive
dc.sourceTinbergen, N. [1989] The Study of Instinct (Clarendon Press)
dc.sourceWang, X.-J. [2009] “ Attractor network models,” Encyclopedia of Neuroscience, ed. Squire, L. R. (Academic Press, Oxford), pp. 667–679
dc.sourceWood, R. I. & Newman, S. W. [1995] “ The medial amygdaloid nucleus and medial preoptic area mediate steroidal control of sexual behavior in the male syrian hamster,” Hormon. Behav. 29, 338–353
dc.sourceWood, R. I. [1996] “ Estradiol, but not dihydrotestosterone, in the medial amygdala facilitates male hamster sex behavior,” Physiol. Behav. 59, 833–841
dc.subjectBifurcation analysis
dc.subjectBoundary equilibrium bifurcation
dc.subjectDecision-making mechanisms
dc.subjectMounting and attack circuits
dc.subjectGrooming circuits
dc.titleDynamics of a neural circuit that mediates social and nonsocial behaviors
dc.typeArtículo de revista


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