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 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

• 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
• License: https://creativecommons.org/licenses/by-nc-nd/4.0/