Determination of the Number Ratio Between Excitation Neurons and Inhibitory Neurons in Activities of Neural Networks

机译：神经网络活动中激发神经元和抑制神经元的数量的测定

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In this paper we found parameter regions to exhibit those different population states, called dividing zones including flat fading zone, rapid fading zone and critical zone. Based on the dividing zones we can choose the number ratio between inhibitory neurons and excitatory neurons and establish the couplings in a neural network. Our researches also show that the balance value, enabling the firing density to reach the dynamic balance, does not depend on initial conditions. In additions, the critical value is only related to the number ratio under the same initial conditions.

机译：在本文中，我们发现参数区域展示这些不同的人口态，称为分割区域，包括平坦衰落区，快速衰落区和关键区域。基于分割区域，我们可以选择抑制性神经元和兴奋神经元之间的数量比，并在神经网络中建立联轴器。我们的研究还表明，平衡值，使射击密度达到动态余额，不依赖于初始条件。另外，临界值仅与相同初始条件下的数字比率有关。

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《International conference on cognitive neurodynamics》|2011年||共8页
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Yan Liu; Rubin Wang; Zhikang Zhang; Xianfa Jiao; Jianting Cao;
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中图分类神经系;
关键词
Inhibitory neural population; Excitatory neural population; Average number density; Critical state;

机译：抑制神经群;兴奋神经群;平均数密度;临界状态;

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4. Determination of the Number Ratio Between Excitation Neurons and Inhibitory Neurons in Activities of Neural Networks [C] . Yan Liu, Rubin Wang, Zhikang Zhang, Advances in cognitive neurodynamics (II) . 2011

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Determination of the Number Ratio Between Excitation Neurons and Inhibitory Neurons in Activities of Neural Networks

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