论文标题
使用神经元模型的γ节律分析和模拟
Gamma Rhythm Analysis and Simulation Using Neuron Models
论文作者
论文摘要
神经振荡是在不同频率下可测量的大脑的电活动。本文研究了大脑中快速和缓慢过程之间的相互作用。我们从简单的Wistar大鼠内颅内记录了信号，进行了信号处理，并计算了高频γ节奏的信封与低频ECOG信号之间的相关性。分析表明，低频信号（Delta Rhythm）会以较小的时间延迟调节伽马节奏。此外，我们使用了简单的可激发神经元模型，即Fitzhugh-Nagumo和Hindmarsh-Rose模拟伽马节奏。低频信号三角节律可以用作使用这些神经元模型影响阈值并模拟伽马节律的输入。
Neural oscillations are electrical activities of the brain measurable at different frequencies. This paper studies the interaction between the fast and slow processes in the brain. We recorded signals intracranially from the simple Wistar rats, performed the signal processing, and computed the correlation between envelopes of the high-frequency gamma rhythm and a low-frequency ECoG signal. The analysis shows that the low-frequency signal (delta rhythm) modulates the gamma rhythm with a small time delay. Further, we used simple excitable neuron models, namely FitzHugh-Nagumo and Hindmarsh-Rose, to simulate the gamma rhythm. The low-frequency signal delta rhythm can be used as the input to affect the threshold and simulate gamma rhythm using these neuron models.
