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首页> 外文期刊>Cognitive Neurodynamics >Random pulse induced synchronization and resonance in uncoupled non-identical neuron models
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Random pulse induced synchronization and resonance in uncoupled non-identical neuron models

机译：随机脉冲诱导在未耦合非相同神经元模型中的同步和共振

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摘要

Random pulses contribute to stochastic resonance in neuron models, whereas common random pulses cause stochastic-synchronized excitation in uncoupled neuron models. We studied concurrent phenomena contributing to phase synchronization and stochastic resonance following induction by a weak common random pulse in uncoupled non-identical Hodgkin-Huxley type neuron models. The common random pulse was selected from a gamma distribution and the degree of synchronization depended on the corresponding shape parameter. Specifically, a low shape parameter of the weak random pulse induced well-synchronized spiking in uncoupled neuron models, whereas a high shape parameter of the weak random pulse or a weak periodic pulse caused low degrees of synchronization. These were improved by concurrent inputs of periodic and random pulses with high shape parameters. Finally, the output pulse was synchronized with the periodic pulse, and the common random pulse revealed periodic responses in the present neuron models.
机译：随机脉冲有助于神经元模型中随机共振，而常见的随机脉冲导致在未耦合的神经元模型中随机同步激励。我们研究了通过在未耦合的非相同Hodgkin-Huxley-Huxley型神经元模型中的弱常见随机脉冲诱导后促进相位同步和随机共振的并行现象。从伽马分布中选择常见的随机脉冲，并且取决于相应的形状参数。具体地，弱随机脉冲的低形状参数在未耦合的神经元模型中引起井同步的尖峰，而弱随机脉冲的高形状参数或弱周期脉冲引起低的同步。通过具有高形状参数的周期性和随机脉冲的并发输入来改善这些。最后，输出脉冲与周期性脉冲同步，并且常见的随机脉冲显示了本神经元模型中的周期性响应。

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