Noise-modulated multistable synapses in a Wilson-Cowan-based model of plasticity.

Noise-modulated multistable synapses in a Wilson-Cowan-based model of plasticity.
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DOI:
10.3389/fncom.2023.1017075
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发表时间:
2023
影响因子:
3.2
通讯作者:
--
中科院分区:
医学4区
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--
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频率依赖性可塑性是指突触强度响应于不同刺激频率的变化。共振是已知在这种频率依赖性中具有重要性的因素,然而,神经噪声在该过程中的作用仍然难以捉摸。考虑到大脑是一个固有的噪声系统,了解其影响可能有助于基于非侵入性脑刺激方案制定治疗干预措施。Wilson-Cowan(WC)模型是描述神经种群平均动力学的成熟模型,并且已经被证明在存在噪声的情况下表现出双稳态。然而,如何在WC模型中的不同的稳定制度可以影响突触可塑性时,皮质人口相互作用的重要问题尚未得到解决。因此,我们研究了可塑性动力学在一个基于WC的模型的相互作用的神经种群与活动依赖性突触,其中周期性刺激施加在存在噪声的控制强度。结果表明,在较窄的噪声方差范围内,可以优化突触强度。特别是,有一个政权的噪声强度突触强度呈现三重稳定状态。调节噪声强度会影响系统选择其中一个稳定状态的概率,从而控制可塑性。这些结果表明,噪声是一个高度影响因素,在确定结果的可塑性刺激诱导。
Frequency-dependent plasticity refers to changes in synaptic strength in response to different stimulation frequencies. Resonance is a factor known to be of importance in such frequency dependence, however, the role of neural noise in the process remains elusive. Considering the brain is an inherently noisy system, understanding its effects may prove beneficial in shaping therapeutic interventions based on non-invasive brain stimulation protocols. The Wilson-Cowan (WC) model is a well-established model to describe the average dynamics of neural populations and has been shown to exhibit bistability in the presence of noise. However, the important question of how the different stable regimes in the WC model can affect synaptic plasticity when cortical populations interact has not yet been addressed. Therefore, we investigated plasticity dynamics in a WC-based model of interacting neural populations coupled with activity-dependent synapses in which a periodic stimulation was applied in the presence of noise of controlled intensity. The results indicate that for a narrow range of the noise variance, synaptic strength can be optimized. In particular, there is a regime of noise intensity for which synaptic strength presents a triple-stable state. Regulating noise intensity affects the probability that the system chooses one of the stable states, thereby controlling plasticity. These results suggest that noise is a highly influential factor in determining the outcome of plasticity induced by stimulation.
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