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- W2156152844 abstract "This paper presents new results on multistability of networks when neurons undergo self-excitation and second-order synaptic connectivity. Due to self-excitation of neurons, we split state space into invariant regions and establish new criteria of coexistence of equilibria (periodic orbits) which are exponentially stable. It is shown that high-order synaptic connectivity and external inputs play an important role on the number of equilibria and their convergent dynamics. As a consequence, our results refute traditional viewpoint: high-order interactions of neurons have faster convergence rate and greater storage capacity than first-order ones. Finally, numerical simulations will illustrate our new and interesting results." @default.
- W2156152844 created "2016-06-24" @default.
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- W2156152844 date "2010-08-01" @default.
- W2156152844 modified "2023-09-25" @default.
- W2156152844 title "Multistability in Networks With Self-Excitation and High-Order Synaptic Connectivity" @default.
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- W2156152844 doi "https://doi.org/10.1109/tcsi.2009.2037401" @default.
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