Abstract :
[en] We study the emergent dynamics of a network of synaptically coupled slow-fast oscillators. Synaptic coupling provides a network-level positive feedback mechanism that cooperates with cellular-level positive feedback to ignite in-phase network oscillations. Using analytical bifurcation analysis, we prove that the Perron-Frobenius eigenvector of the network adjacency matrix fully controls the oscillation pattern locally in a neighborhood of a Hopf bifurcation. Besides shifting the focus from the spectral properties of the network Laplacian matrix to the network adjacency matrix, we discuss other key differences between synaptic and diffusive coupling.
Funding text :
This work was supported by UNAM-DGAPA-PAPIIT grant IN102420 and by CONACyT grant A1-S-10610. 1O. P. Juarez-Alvarez is with the Department of Mathematics, Faculty of Sciences, UNAM. pat jualv@ciencias.unam.mx 2A. Franci is with the Department of Mathematics, Faculty of Sciences, UNAM, afranci@ciencias.unam.mx. 1Note that the notion of emergent dynamics used in [1], [2] is different from ours.
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