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• W3204170557 abstract "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." @default.
• W3204170557 created "2021-10-11" @default.
• W3204170557 creator A5040567426 @default.
• W3204170557 creator A5049699562 @default.
• W3204170557 date "2021-09-28" @default.
• W3204170557 modified "2023-10-01" @default.
• W3204170557 title "In-phase oscillations from the cooperation of cellular and network positive feedback in synaptically-coupled oscillators" @default.
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• W3204170557 hasPublicationYear "2021" @default.
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