神经振荡器网络的相幅耦合

Yuzhen Qin, Tommaso Menara, D. Bassett, F. Pasqualetti
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引用次数: 6

摘要

相幅耦合(PAC)是指高频振荡的功率随低频振荡的相位变化而变化的现象。我们提出了一个模型来解释大脑中两种普遍接受的结构中PAC的出现,即由外部低频输入驱动的高频神经振荡和具有不同局部产生频率的两个相互作用的局部振荡。我们进一步提出了一个脑区互连结构,并证明低频相位同步可以整合由局部PAC调节的高频活动,并控制跨远区域的信息流方向。
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Phase-amplitude coupling in neuronal oscillator networks
Phase-amplitude coupling (PAC) describes the phenomenon where the power of a high-frequency oscillation evolves with the phase of a low-frequency one. We propose a model that explains the emergence of PAC in two commonly-accepted architectures in the brain, namely, a high-frequency neural oscillation driven by an external low-frequency input and two interacting local oscillations with distinct, locally-generated frequencies. We further propose an interconnection structure for brain regions and demonstrate that low-frequency phase synchrony can integrate high-frequency activities regulated by local PAC and control the direction of information flow across distant regions.
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Phase-amplitude coupling in neuronal oscillator networks Quality of internal representation shapes learning performance in feedback neural networks Generalisation of neuronal excitability allows for the identification of an excitability change parameter that links to an experimentally measurable value Short term memory by transient oscillatory dynamics in recurrent neural networks Predicting brain evoked response to external stimuli from temporal correlations of spontaneous activity
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