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首页> 外文期刊>Journal of Computational Neuroscience >The K-complex and slow oscillation in terms of a mean-field cortical model
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The K-complex and slow oscillation in terms of a mean-field cortical model

机译：根据平均场皮质模型的K复数和慢振荡

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We use a mean-field macrocolumn model of the cerebral cortex to offer an interpretation of the K-complex of the electroencephalogram to complement those of more detailed neuron-by-neuron models. We interpret the K-complex as a momentary excursion of the cortex from a stable low-firing state to an unstable high-firing state, and hypothesize that the related slow oscillation can be considered as the periodic oscillation between two meta-stable solutions of the mean-field model. By incorporating a Hebbian-style learning rule that links the growth in synapse strength to fluctuations in soma potential, we demonstrate a self-organization behaviour that draws the modelled cortex close to the edge of stability of the low-firing state. Furthermore, a very slow oscillation can occur in the excitability of the cortex that has similarities with the infra-slow oscillation of sleep.
机译：我们使用大脑皮层的平均场宏柱模型来解释脑电图的K络合物，以补充更详细的神经元神经元模型。我们将K复数解释为皮质从稳定的低发火状态到不稳定的高发火状态的瞬时偏移，并假设相关的慢振动可以看作是两个亚稳态解之间的周期性振动。平均场模型。通过合并一个将突触强度的增长与躯体电位波动相关联的Hebbian式学习规则，我们证明了一种自组织行为，该行为使模型化的皮质接近低火状态的稳定性边缘。此外，皮质的兴奋性可能会发生非常缓慢的振荡，这与睡眠的超慢振荡相似。

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