Decision-making neural circuits mediating social behaviors: an attractor network model
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds for steady state transitions corresponding to some...
- Autores:
-
Ramírez Moreno, David Fernando
Hurtado López, Julián
Sejnowski, Terrence Joseph
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/11179
- Acceso en línea:
- http://hdl.handle.net/10614/11179
https//doi: 10.1007/s10827-017-0654-8
- Palabra clave:
- Métodos de simulación
Modelos matemáticos
Mathematical models
Simulation methods
Nonlinear dynamics
Bifurcation analysis
Decision-making mechanisms
Dynamics of social behavior
Mounting and attack circuits
- Rights
- openAccess
- License
- Derechos Reservados - Universidad Autónoma de Occidente
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Decision-making neural circuits mediating social behaviors: an attractor network model |
| title |
Decision-making neural circuits mediating social behaviors: an attractor network model |
| spellingShingle |
Decision-making neural circuits mediating social behaviors: an attractor network model Métodos de simulación Modelos matemáticos Mathematical models Simulation methods Nonlinear dynamics Bifurcation analysis Decision-making mechanisms Dynamics of social behavior Mounting and attack circuits |
| title_short |
Decision-making neural circuits mediating social behaviors: an attractor network model |
| title_full |
Decision-making neural circuits mediating social behaviors: an attractor network model |
| title_fullStr |
Decision-making neural circuits mediating social behaviors: an attractor network model |
| title_full_unstemmed |
Decision-making neural circuits mediating social behaviors: an attractor network model |
| title_sort |
Decision-making neural circuits mediating social behaviors: an attractor network model |
| dc.creator.fl_str_mv |
Ramírez Moreno, David Fernando Hurtado López, Julián Sejnowski, Terrence Joseph |
| dc.contributor.author.none.fl_str_mv |
Ramírez Moreno, David Fernando Hurtado López, Julián Sejnowski, Terrence Joseph |
| dc.subject.armarc.spa.fl_str_mv |
Métodos de simulación Modelos matemáticos |
| topic |
Métodos de simulación Modelos matemáticos Mathematical models Simulation methods Nonlinear dynamics Bifurcation analysis Decision-making mechanisms Dynamics of social behavior Mounting and attack circuits |
| dc.subject.armarc.eng.fl_str_mv |
Mathematical models Simulation methods |
| dc.subject.proposal.eng.fl_str_mv |
Nonlinear dynamics Bifurcation analysis Decision-making mechanisms Dynamics of social behavior Mounting and attack circuits |
| description |
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds for steady state transitions corresponding to some experimentally observed behaviors, such as aggression control. The performance of the model and the relation with experimental evidence are discussed |
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2017 |
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2017-06-29 |
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2019-10-08T21:09:43Z |
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2019-10-08T21:09:43Z |
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Artículo de revista |
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http://hdl.handle.net/10614/11179 |
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https//doi: 10.1007/s10827-017-0654-8 |
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eng |
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eng |
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142 |
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2 |
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127 |
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43 |
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Hurtado-Lopez, J., Ramirez-Moreno, D. F., & Sejnowski, T. J. (2017). Decision-making neural circuits mediating social behaviors; An attractor network model. Journal of Computational Neuroscience, 43 (2), 127-142 |
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Journal of computational ceuroscience |
| dc.relation.references.none.fl_str_mv |
Boucheny, C, Brunel, N, & Arleo, A (2005). A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system. Journal of Computational Neuroscience, 18(2), 205–227. doi: . Choi, G.B., Dong, Hw., 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(4), 647–660 Crews, D. (2005). Evolution of neuroendocrine mechanisms that regulate sexual behavior. Trends in Endocrinology & Metabolism, 16(8), 354–361 Dhooge, A., Govaerts, W., & Kuznetsov, Y.A. (2003). Matcont: a matlab package for numerical bifurcation analysis of odes. ACM Transactions on Mathematical Software, 29(2), 141–164 Dominguez, J.M., & Hull, E.M. (2005). Dopamine, the medial preoptic area, and male sexual behavior. Physiology & Behavior, 86(3), 356–368 Dulac, C, & Kimchi, T (2007). Neural mechanisms underlying sex-specific behaviors in vertebrates. Current Opinion in Neurobiology, 17(6), 675–683. motor systems / Neurobiology of behaviour Greenberg, G.D., & Trainor, B.C. (2016). Chapter 4 - sex differences in the social behavior network and mesolimbic dopamine system. In Shansky, R M (Ed.), Sex differences in the central nervous system (pp. 77–106). San Diego: Academic Press Hashikawa, K., Hashikawa, Y., Falkner, A., & Lin, D. (2016). The neural circuits of mating and fighting in male mice. Current Opinion in Neurobiology, 38, 27–37 Hurtado-López, J, & Ramirez-Moreno, D.F. (1350). (2013) Nonlinear dynamics of an oscillatory neural network acting as a motor central pattern generator. International Journal of Bifurcation and Chaos, 23(08), 142 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 Harbor Laboratory Press, pp. 1–12 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(7502), 627–632. Lin, 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(7333), 221– 226 Milton, J., Naik, P., Chan, C., & Campbell, S.A. (2010). Indecision in neural decision making models. Mathematical Modelling of Natural Phenomena, 5, 125–145 Nelson, R.J., & Chiavegatto, S. (2000). Aggression in knockout mice. ILAR Journal, 41(3), 153–162 Nelson, R.J., & Trainor, B.C. (2007). Neural mechanisms of aggression. Nature Reviews Neuroscience, 8(7), 536–546 Sokolowski, K., & Corbin, J.G. (2012). Wired for behavior: from development to function of innate limbic system circuitry. Frontiers in Molecular Neuroscience, 5(55) Swanson, L.W. (2000). Cerebral hemisphere regulation of motivated behavior. Brain Research, 886(1–2), 113–164. towards 2010, A brain Odyssey, The 3rd Brain Research Interactive Tegnér, J., Compte, A., & Wang, X.J. (2002). The dynamical stability of reverberatory neural circuits. Biological Cybernetics, 87(5-6), 471–481 Trotta, L., Bullinger, E., & Sepulchre, R. (2012). Global analysis of dynamical decision-making models through local computation around the hidden saddle. PLoS ONE, 7(3) Veenema, A.H., & Neumann, I.D. (2007). Neurobiological mechanisms of aggression and stress coping: A comparative study in mouse and rat selection lines. Brain Behavior and Evolution, 70(4), 274–285 Walter, P., Green, S., Greene, G., Krust, A., Bornert, J.M., Jeltsch, J.M., Staub, A., Jensen, E., Scrace, G., & Waterfield, M. (1985). Cloning of the human estrogen receptor cdna. Proceedings of the National Academy of Sciences, 82(23), 7889–7893 Wang, C.T., Lee, C.T., Wang, X.J., & Lo, C.C. (2013). Top-down modulation on perceptual decision with balanced inhibition through feedforward and feedback inhibitory neurons. PLoS ONE, 8(4) Wang, X.J. (2008). Decision making in recurrent neuronal circuits. Neuron, 60(2), 215–234 Wang, X.J. (2009). Attractor Network Models. In Squire, LR (Ed.), Encyclopedia of Neuroscience (pp. 667–679). Oxford: Academic Press Wang, X.J. (2012). Neural dynamics and circuit mechanisms of decision-making. Current Opinion in Neurobiology, 22(6), 1039–1046. decision making Wilson, H.R., & Cowan, J.D. (1972). Excitatory and inhibitory interactions in localized populations of model neurons. Biophysical Journal, 12(1), 1–24 Zou, H., Zhang, C., Xie, Q., Zhang, M., Shi, J., Jin, M., & Yu, L. (2008). Low dose MK-801 reduces social investigation in mice. Pharmacology Biochemistry and Behavior, 90(4), 753–757 |
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Ramírez Moreno, David Fernandovirtual::4305-1Hurtado López, Juliánvirtual::2385-1Sejnowski, Terrence Josephbee1bfa9ea1b2d1e31933ff017173d80Universidad Autónoma de Occidente. Calle 25 115-85. Km 2 vía Cali-Jamundí2019-10-08T21:09:43Z2019-10-08T21:09:43Z2017-06-2915736873 (en línea)09295313 (impresa)http://hdl.handle.net/10614/11179https//doi: 10.1007/s10827-017-0654-8We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds for steady state transitions corresponding to some experimentally observed behaviors, such as aggression control. The performance of the model and the relation with experimental evidence are discussedapplication/pdf16 páginasengSpringerDerechos Reservados - Universidad Autónoma de Occidentehttps://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_abf2Decision-making neural circuits mediating social behaviors: an attractor network modelArtículo 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/ARTREFinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Métodos de simulaciónModelos matemáticosMathematical modelsSimulation methodsNonlinear dynamicsBifurcation analysisDecision-making mechanismsDynamics of social behaviorMounting and attack circuits142212743Hurtado-Lopez, J., Ramirez-Moreno, D. F., & Sejnowski, T. J. (2017). Decision-making neural circuits mediating social behaviors; An attractor network model. Journal of Computational Neuroscience, 43 (2), 127-142Journal of computational ceuroscienceBoucheny, C, Brunel, N, & Arleo, A (2005). A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system. Journal of Computational Neuroscience, 18(2), 205–227. doi: .Choi, G.B., Dong, Hw., 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(4), 647–660Crews, D. (2005). Evolution of neuroendocrine mechanisms that regulate sexual behavior. Trends in Endocrinology & Metabolism, 16(8), 354–361Dhooge, A., Govaerts, W., & Kuznetsov, Y.A. (2003). Matcont: a matlab package for numerical bifurcation analysis of odes. ACM Transactions on Mathematical Software, 29(2), 141–164Dominguez, J.M., & Hull, E.M. (2005). Dopamine, the medial preoptic area, and male sexual behavior. Physiology & Behavior, 86(3), 356–368Dulac, C, & Kimchi, T (2007). Neural mechanisms underlying sex-specific behaviors in vertebrates. Current Opinion in Neurobiology, 17(6), 675–683. motor systems / Neurobiology of behaviourGreenberg, G.D., & Trainor, B.C. (2016). Chapter 4 - sex differences in the social behavior network and mesolimbic dopamine system. In Shansky, R M (Ed.), Sex differences in the central nervous system (pp. 77–106). San Diego: Academic PressHashikawa, K., Hashikawa, Y., Falkner, A., & Lin, D. (2016). The neural circuits of mating and fighting in male mice. Current Opinion in Neurobiology, 38, 27–37Hurtado-López, J, & Ramirez-Moreno, D.F. (1350). (2013) Nonlinear dynamics of an oscillatory neural network acting as a motor central pattern generator. International Journal of Bifurcation and Chaos, 23(08), 142Kennedy, 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 Harbor Laboratory Press, pp. 1–12Lee, 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(7502), 627–632.Lin, 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(7333), 221– 226Milton, J., Naik, P., Chan, C., & Campbell, S.A. (2010). Indecision in neural decision making models. Mathematical Modelling of Natural Phenomena, 5, 125–145Nelson, R.J., & Chiavegatto, S. (2000). Aggression in knockout mice. ILAR Journal, 41(3), 153–162Nelson, R.J., & Trainor, B.C. (2007). Neural mechanisms of aggression. Nature Reviews Neuroscience, 8(7), 536–546Sokolowski, K., & Corbin, J.G. (2012). Wired for behavior: from development to function of innate limbic system circuitry. Frontiers in Molecular Neuroscience, 5(55)Swanson, L.W. (2000). Cerebral hemisphere regulation of motivated behavior. Brain Research, 886(1–2), 113–164. towards 2010, A brain Odyssey, The 3rd Brain Research InteractiveTegnér, J., Compte, A., & Wang, X.J. (2002). The dynamical stability of reverberatory neural circuits. Biological Cybernetics, 87(5-6), 471–481Trotta, L., Bullinger, E., & Sepulchre, R. (2012). Global analysis of dynamical decision-making models through local computation around the hidden saddle. PLoS ONE, 7(3)Veenema, A.H., & Neumann, I.D. (2007). Neurobiological mechanisms of aggression and stress coping: A comparative study in mouse and rat selection lines. Brain Behavior and Evolution, 70(4), 274–285Walter, P., Green, S., Greene, G., Krust, A., Bornert, J.M., Jeltsch, J.M., Staub, A., Jensen, E., Scrace, G., & Waterfield, M. (1985). Cloning of the human estrogen receptor cdna. Proceedings of the National Academy of Sciences, 82(23), 7889–7893Wang, C.T., Lee, C.T., Wang, X.J., & Lo, C.C. (2013). Top-down modulation on perceptual decision with balanced inhibition through feedforward and feedback inhibitory neurons. PLoS ONE, 8(4)Wang, X.J. (2008). Decision making in recurrent neuronal circuits. Neuron, 60(2), 215–234Wang, X.J. (2009). Attractor Network Models. In Squire, LR (Ed.), Encyclopedia of Neuroscience (pp. 667–679). Oxford: Academic PressWang, X.J. (2012). Neural dynamics and circuit mechanisms of decision-making. Current Opinion in Neurobiology, 22(6), 1039–1046. decision makingWilson, H.R., & Cowan, J.D. (1972). Excitatory and inhibitory interactions in localized populations of model neurons. Biophysical Journal, 12(1), 1–24Zou, H., Zhang, C., Xie, Q., Zhang, M., Shi, J., Jin, M., & Yu, L. (2008). Low dose MK-801 reduces social investigation in mice. 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