论文标题
神经元网络的平均场模型中的节奏发生
Rhythmogenesis in the mean field model of the neuron-glial network
论文作者
论文摘要
尽管爆发活性的现象对于生命神经网络的运作很重要，但其起源机制仍然尚不清楚。在本文中，我们提出了一个新的现象学模型，该模型可以解释基于短期突触可塑性，复发连接和神经元相互作用的爆发活动的机制。我们表明，神经元相互作用会引起爆发活性。爆发活动出现的分叉场景是本文的重点。拟议的研究对于理解神经网络中的复杂动态非常重要。
Despite the fact that the phenomenon of bursting activity is important for functioning of living neural networks, the mechanisms of its origin are still not clear. In this paper, we propose a new phenomenological model that can explain the mechanisms of the formation of bursting activity based on short-term synaptic plasticity, recurrent connections, and neuron-glial interactions. We show that neuron-glial interactions can induce bursting activity. The bifurcation scenarios of emergence of bursting activity are in the focus of the paper. Proposed study is important for understanding of the complex dynamics in neural networks.
