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- W3175655668 abstract "Self-induced stochastic resonance (SISR) requires a nontrivial scaling limit between the deterministic and the stochastic timescales of an excitable system, leading to a limit cycle which is absent without noise. We investigate SISR in neural network motifs. For single neurons, we show that changes in electrical autaptic parameters do not significantly affect the degree of SISR. While changes in chemical autaptic parameters do affect both the degree of SISR and the interval of noise intensity. For single motifs, we show that the degree of SISR and the interval of the noise intensity in which this degree is high depends on the nature of the synaptic time-delayed couplings and the topology of the motif: (i) for all topologies of electrical motifs, the weaker couplings and the shorter the time delays between the neurons, the higher the degree of SISR and the larger the noise interval in which this degree is high; (ii) for most topologies of chemical motifs, variations in the synaptic time-delayed couplings do not affect the high degree of SISR nor the interval of the noise intensity. But for certain topologies of the chemical motifs, the degree of SISR can exhibit significant deterioration with changes in the synaptic time-delayed couplings. We provide two enhancement strategies that can be used to enhance the poor degree of SISR in these chemical motifs: (i) we show that a poor SISR can be enhanced by attaching an electrical or an excitatory chemical autapse on the neuron of the motif which has the highest in-degree; (ii) we also show that by multiplexing the motif with a poor degree of SISR to another motif (with a high degree of SISR in isolation), the degree of SISR in the former motif can be enhanced. We show that the efficiency of these enhancement strategies depends on the topology of the motifs and the synaptic time-delayed couplings mediating the multiplexing connections." @default.
- W3175655668 created "2021-07-05" @default.
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- W3175655668 date "2021-06-21" @default.
- W3175655668 modified "2023-09-26" @default.
- W3175655668 title "Control of noise-induced coherent oscillations in time-delayed neural motifs" @default.
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