基于脑电同步的嗅觉仿生模型优化研究

On Olfactory Bionic Model Optimization Based on EEG Synchronization

以提高嗅觉系统模型的仿生度为目标,研究了嗅觉模型优化问题。考虑到同步状态是脑电信号间普遍出现的现象,以嗅觉模型输出之间是否出现同步状态为研究目标。研究的关键点包括如下几个:(1)优化指标:以信号的相位信息为对象,将模型输出信号之间的相位同步程度作为优化指标,并采用锁相位方法计算相位同步程度;(2)输出信号选择:考虑到嗅皮层在信息处理中的作用,以嗅皮层中兴奋性的NII层节点输出作为模型输出;(3)参数优化:考虑到对神经调质兴奋度的模拟,以增益系数为优化参数,并基于锁相位方法通过计算确定参数的优化值。研究结果表明,对增益系统的优化可以提高模型输出信号的相位同步程度,当增益系数取值在5附近时,模型输出呈现出的同步特性最为明显。

Aiming to improve the simulating degree of olfactory system model, optimizing problem of olfactory system model was researched. Considering obvious presence of electroencephalogram synchronization, if there was synchronization state of the model output or not was used as research aim. The research key included three aspects： （1） Optimizing index. The phase information of signals was used as object. Phase locking value was calculated to evaluate synchronization degree. The phase synchronization degree between model outputs was used as optimizing index; （2） Output signals selection. Considering important effect of olfactory cortex in information processing, the outputs of nodes of excited ]VII layer of olfactory cortex were used as model outputs; （3） Parameters optimizing. The gain coefficient, simulating excited degree of neuromodulator, was used as optimized parameter. The optimized value was decided based on phase locking value. Research results show that optimized gain coefficient can improve phase synchronization degree among model outputs. When the value of gain coefficient is about 5, the synchronization degree of model outputs is the most obvious.