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Spiral Waves and Multiple Spatial Coherence Resonances Induced by Colored Noise in Neuronal Network

机译:神经元网络中有色噪声引起的螺旋波和多个空间相干共振

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Gaussian colored noise induced spatial patterns and spatial coherence resonances in a square lattice neuronal network composed of Morris-Lecar neurons are studied. Each neuron is at resting state near a saddle-node bifurcation on invariant circle, coupled to its nearest neighbors by electronic coupling. Spiral waves with different structures and disordered spatial structures can be alternately induced within a large range of noise intensity. By calculating spatial structure function and signal-to-noise ratio (SNR), it is found that SNR values are higher when the spiral structures are simple and are lower when the spatial patterns are complex or disordered, respectively. SNR manifest multiple local maximal peaks, indicating that the colored noise can induce multiple spatial coherence resonances. The maximal SNR values decrease as the correlation time of the noise increases. These results not only provide an example of multiple resonances, but also show that Gaussian colored noise play constructive roles in neuronal network.
机译:研究了高斯色噪声在由莫里斯-莱卡尔神经元组成的方格神经元网络中引起的空间模式和空间相干共振。每个神经元在不变圆上的鞍形节点分叉附近处于静止状态,并通过电子耦合耦合到其最近的邻居。可以在较大的噪声强度范围内交替感应出具有不同结构和无序空间结构的螺旋波。通过计算空间结构函数和信噪比(SNR),发现当螺旋结构简单时,SNR值较高;当空间模式复杂或无序时,SNR值较低。 SNR表现出多个局部最大峰值,表明有色噪声可以引起多个空间相干共振。 SNR的最大值随噪声相关时间的增加而减小。这些结果不仅提供了多重共振的例子,而且还表明高斯彩色噪声在神经元网络中发挥了建设性的作用。

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