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首页> 外文期刊>Journal of Computational Neuroscience >Membrane Resonance and Stochastic Resonance Modulate Firing Patterns of Thalamocortical Neurons
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Membrane Resonance and Stochastic Resonance Modulate Firing Patterns of Thalamocortical Neurons

机译:膜共振和随机共振调节丘脑皮质神经元的发射模式。

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We examined the interactions of subthreshold membrane resonance and stochastic resonance using whole-cell patch clamp recordings in thalamocortical neurons of rat brain slices, as well as with a Hodgkin-Huxley-type mathematical model of thalamocortical neurons. The neurons exhibited the subthreshold resonance when stimulated with small amplitude sine wave currents of varying frequency, and stochastic resonance when noise was added to sine wave inputs. Stochastic resonance was manifest as a maximum in signal-to-noise ratio of output response to subthreshold periodic input combined with noise. Stochastic resonance in conjunction with subthreshold resonance resulted in action potential patterns that showed frequency selectivity for periodic inputs. Stochastic resonance was maximal near subthreshold resonance frequency and a high noise level was required for detection of high frequency signals. We speculate that combined membrane and stochastic resonances have physiological utility in coupling synaptic activity to preferred firing frequency and in network synchronization under noise.
机译:我们使用大鼠脑切片的丘脑皮质神经元中的全细胞膜片钳记录以及丘脑皮质神经元的霍奇金-赫克斯利型数学模型,研究了亚阈值膜共振和随机共振的相互作用。当用变化频率的小幅正弦波电流刺激时,神经元表现出亚阈值共振,当将噪声添加到正弦波输入时,神经元表现出随机共振。随机共振表现为与阈值以下的周期性输入相结合的输出响应的信噪比最大值。随机共振与亚阈值共振共同导致动作电位模式显示出周期性输入的频率选择性。随机共振在亚阈值共振频率附近最大,并且需要高噪声水平才能检测高频信号。我们推测,膜和随机共振的结合在将突触活动耦合到优选的发射频率以及在噪声下的网络同步中具有生理学作用。

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