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ccailiaonew
- HH模型 神经元放电 龙格库塔算法 神经元激发行为-HH model neurons Runge-Kutta algorithm
SNN4ImageFeaturIPCAT2007
- Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set
An-expanding-SOM
- 自组织映射（SOM）已成功处理的欧式旅行的鹅岭推销员问题（TSP）。通过将其邻域保持财产和 凸包属性数值模拟TSP，我们引入了一个新的SOM如神经网络，称为前panding的SOM（ESOM）的。在每一个学习的迭代，ESOM提请接近的兴奋神经元 输入的城市，并在此期间，推压它们向凸包ofcities合作。 ESOM可能收购邻里保护财产和凸包的属性 的TSP，因此它可以产生接近最优的解决方案。从理论上分析了其可行性 和经验。一个的系列ofexperiments进行合成和基准的T
Application-of-BP-based-on-MATLAB-
- 解决了非线性函数的逼近问题,实现了BP神经网络在非线性函数逼近中的应用。得出了信号的频率与隐含点之间，隐含点与函数逼近能力之间的关系——隐含层神经元数目越多。-Solved the problem of nonlinear function approximation, and realized the application of the BP neural network in nonlinear function approximation. Between signal frequenc
stroke
- Circulation to the brain is cut off, the neurons are deprived of oxygen, the neurons die
ConCog08
- 一篇很好的文章，此文章关于大脑皮层神经元做了详细的描述，很有参考价值。(This paper presents a computer model of cortical broadcast and competition based on spiking neurons and inspired by the hypothesis of a global neuronal workspace underlying conscious information processing in the