Objective:To investigate the mechanism of population coding underlying the stimulus information processing in hippocampal neuronal network.
目的：探讨培养的海马神经元网络对外界刺激信息的群体编码机制。
Duplicate coding of verbal autopsy results has little advantage over a single-coder system for mortality surveillance or for identifying population patterns of death.
进行死亡率监测或确认人口死亡类型时，死因推断结果的双重编码与单个编码员系统相比优势较小。
This algorithm improves the method of coding, size of population and operators; USES expert knowledge to aid searching feasible solution; and presents self adaptive adjusting of penalty factor.
该算法对传统遗传算法的编码方式、群体规模以及遗传算子等方面进行了改进，利用专家知识辅助搜寻可行解，并提出罚因子的自适应调整。
Besides, the phonological loop can be accessed by the deaf population through oral training, suggesting that the deaf individuals can use speech-based coding to a certain extend.
通过发声训练，听障人群也可采用语音编码，即语音环路可被通达。
The natural number coding, the random population selection, the simple crossover strategy of "two-parents-and-one-kid" and the fixed mutation probability were totally adopted.
在算法中采用了自然数编码、随机选取种群、简单的“双亲单子”交叉策略和固定的突变概率。
In neocortex, inputs give rise to population rhythms, providing a spatiotemporal coding strategy for inputs and consequent outputs.
在大脑皮层，信息输入会引起有节律的变化，从而为信息的输入和随后的输出提供了一个时空编码策略。
In neocortex, inputs give rise to population rhythms, providing a spatiotemporal coding strategy for inputs and consequent outputs.
在大脑皮层，信息输入会引起有节律的变化，从而为信息的输入和随后的输出提供了一个时空编码策略。
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