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Dynamics of a neural circuit that mediates social and nonsocial behaviors. (English) Zbl 1435.34052

Summary: 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.

MSC:

34C60 Qualitative investigation and simulation of ordinary differential equation models
91D10 Models of societies, social and urban evolution
92B20 Neural networks for/in biological studies, artificial life and related topics
92C60 Medical epidemiology
34A36 Discontinuous ordinary differential equations
34C05 Topological structure of integral curves, singular points, limit cycles of ordinary differential equations
34C23 Bifurcation theory for ordinary differential equations

Software:

MATCONT
Full Text: DOI

References:

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