论文标题

神经元变异性对神经网络相同步的影响

Effects of neuronal variability on phase synchronization of neural networks

论文作者

Rossi, Kalel Luiz, Budzisnki, Roberto Cesar, Silveira, Joao Antonio Paludo, Boaretto, Bruno Rafael Reichert, Prado, Thiago Lima, Lopes, Sergio Roberto, Feudel, Ulrike

论文摘要

神经信息处理中的一个重要想法是通信 - 辅助假设,根据该假设,两个大脑区域之间的交流只有在它们被循环时才有效。神经元的变异性也很重要,这种现象在这种现象中,单个神经元的间隔时间可能是高度可变的。在这项工作中,我们旨在通过研究这种变异性对神经元达到相同步能力的影响来连接这两个思想。我们模拟了具有小世界拓扑结构的改良霍奇金 - 赫克斯利爆发神经元的网络。首先,变异性与网络的平均相同步度相关。接下来,仅限于空间可变性 - 衡量网络中所有神经元之间发射时间的偏差 - 我们表明它与我们称为滥交的行为呈正相关,这是神经元与时间变化的趋势。在所有情况下,无论同步程度如何或神经元耦合的强度如何:高可变性都意味着高度差异(即使整个网络整体同步并且耦合强大,均表示这种关系。我们认为空间可变性实际上会产生滥交。因此,我们得出的结论是,可变性对神经元同步的程度和方式都有很大的影响,这是其在神经交流中相关的另一个原因。

An important idea in neural information processing is the communication-through-coherence hypothesis, according to which communication between two brain regions is effective only if they are phase-locked. Also of importance is neuronal variability, a phenomenon in which a single neuron's inter-firing times may be highly variable. In this work, we aim to connect these two ideas by studying the effects of that variability on the capability of neurons to reach phase synchronization. We simulate a network of modified-Hodgkin-Huxley-bursting neurons possessing a small-world topology. First, variability is shown to be correlated with the average degree of phase synchronization of the network. Next, restricting to spatial variability - which measures the deviation of firing times between all neurons in the network - we show that it is positively correlated to a behavior we call promiscuity, which is the tendency of neurons to to have their relative phases change with time. This relation is observed in all cases we tested, regardless of the degree of synchronization or the strength of the inter-neuronal coupling: high variability implies high promiscuity (low duration of phase-locking), even if the network as a whole is synchronized and the coupling is strong. We argue that spatial variability actually generates promiscuity. Therefore, we conclude that variability has a strong influence on both the degree and the manner in which neurons phase synchronize, which is another reason for its relevance in neural communication.

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