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Reverberation of excitation in neuronal networks interconnected through voltage-gated gap junction channels

机译:通过电压门控间隙连接通道互连的神经元网络中的激励混响

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摘要

We combined Hodgkin–Huxley equations and gating models of gap junction (GJ) channels to simulate the spread of excitation in two-dimensional networks composed of neurons interconnected by voltage-gated GJs. Each GJ channel contains two fast and slow gates, each exhibiting current–voltage (I-V) rectification and gating properties that depend on transjunctional voltage (Vj). The data obtained show how junctional conductance (gj), which is necessary for synchronization of the neuronal network, depends on its size and the intrinsic firing rate of neurons. A phase shift between action potentials (APs) of neighboring neurons creates bipolar, short-lasting Vj spikes of approximately ±100 mV that induce Vj gating, leading to a small decay of gj, which can accumulate into larger decays during bursting activity of neurons. We show that I-V rectification of GJs in local regions of the two-dimensional network of neurons can lead to unidirectional AP transfer and consequently to reverberation of excitation. This reverberation can be initiated by a single electrical pulse and terminated by a low-amplitude pulse applied in a specific window of reverberation cycle. Thus, the model accounts for the influence of dynamically modulatable electrical synapses in shaping the function of a neuronal network and the formation of reverberation, which, as proposed earlier, may be important for the development of short-term memory and its consolidation into long-term memory.
机译:我们将Hodgkin-Huxley方程和间隙连接(GJ)通道的门控模型结合起来,以模拟由电压门控GJ互连的神经元组成的二维网络中的激励分布。每个GJ通道都包含两个快速和慢速栅极,每个栅极具有电流-电压(I-V)整流和门控特性,该特性取决于跨结电压(Vj)。获得的数据表明,神经元网络同步所需的连接电导(gj)如何取决于其大小和神经元的内在放电速度。相邻神经元的动作电位(AP)之间的相移会产生约±100 mV的双极,短时Vj尖峰,从而诱发Vj选通,从而导致gj的小衰减,在神经元爆发活动期间会累积成更大的衰减。我们显示神经元的二维网络的局部区域中的GJ的I-V整流可以导致单向AP传输,并因此导致激励的混响。该混响可由单个电脉冲启动,并由在混响周期的特定窗口中施加的低幅度脉冲终止。因此,该模型考虑了动态可调节电突触在影响神经网络功能和混响形成方面的影响,如前所述,这对于发展短期记忆并将其整合为长期记忆可能非常重要。术语记忆。

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