ArticleCognitive neurodynamics2015
Noise-induced burst and spike synchronizations in an inhibitory small-world network of subthreshold bursting neurons.
Article in Cognitive neurodynamics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Prefrontal cortex interneurons and their contributions to attention, working memory, and adaptive behavior.Progress in neurobiology · 2026Review
- Article
- Effect of interpopulation spike-timing-dependent plasticity on synchronized rhythms in neuronal networks with inhibitory and excitatory populations.Cognitive neurodynamics · 2020Article
- Cluster burst synchronization in a scale-free network of inhibitory bursting neurons.Cognitive neurodynamics · 2020Article
- Burst synchronization in a scale-free neuronal network with inhibitory spike-timing-dependent plasticity.Cognitive neurodynamics · 2019Article
- Weak-noise-induced transitions with inhibition and modulation of neural oscillations.Biological cybernetics · 2018Article
- Effect of spike-timing-dependent plasticity on stochastic burst synchronization in a scale-free neuronal network.Cognitive neurodynamics · 2018Article
- Computational study on neuronal activities arising in the pre-Bötzinger complex.Cognitive neurodynamics · 2017Article
- Dynamical responses to external stimuli for both cases of excitatory and inhibitory synchronization in a complex neuronal network.Cognitive neurodynamics · 2017Article
- Bursting dynamics remarkably improve the performance of neural networks on liquid computing.Cognitive neurodynamics · 2016Article
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2 authors.
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Abstract
We are interested in noise-induced firings of subthreshold neurons which may be used for encoding environmental stimuli. Noise-induced population synchronization was previously studied only for the case of global coupling, unlike the case of subthreshold spiking neurons. Hence, we investigate the effect of complex network architecture on noise-induced synchronization in an inhibitory population of subthreshold bursting Hindmarsh-Rose neurons. For modeling complex synaptic connectivity, we consider the Watts-Strogatz small-world network which interpolates between regular lattice and random network via rewiring, and investigate the effect of small-world connectivity on emergence of noise-induced population synchronization. Thus, noise-induced burst synchronization (synchrony on the slow bursting time scale) and spike synchronization (synchrony on the fast spike time scale) are found to appear in a synchronized region of the [Formula: see text]-[Formula: see text] plane ([Formula: see text]: synaptic inhibition strength and [Formula: see text]: noise intensity). As the rewiring probability [Formula: see text] is decreased from 1 (random network) to 0 (regular lattice), the region of spike synchronization shrinks rapidly in the [Formula: see text]-[Formula: see text] plane, while the region of the burst synchronization decreases slowly. We separate the slow bursting and the fast spiking time scales via frequency filtering, and characterize the noise-induced burst and spike synchronizations by employing realistic order parameters and statistical-mechanical measures introduced in our recent work. Thus, the bursting and spiking thresholds for the burst and spike synchronization transitions are determined in terms of the bursting and spiking order parameters, respectively. Furthermore, we also measure the degrees of burst and spike synchronizations in terms of the statistical-mechanical bursting and spiking measures, respectively.
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