matlab的欧拉方法代码-comp-neuro:本课程旨在了解通过计算机模拟的不同数值模型在大脑神经元之间传递信号的过程,从而导致决策,记忆

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matlab的欧拉方法代码神经复合体 (课程于2019年Spring举行) 本课程旨在了解通过计算机模拟的不同数值模型在大脑神经元之间传递信号的过程,从而导致决策,记忆和学习。 用MATLAB编写的代码。 练习: 单神经元模型 PS4:使用欧拉方法对积分和发射模型进行编码,以近似估算不同的电流I。 神经网络 PS5:对环形网络的活动进行编码(具有连接),该网络提供正反馈以关闭神经元,而负反馈则向较远的神经元提供反馈。 然后提供一个输入,该输入也取决于每个神经元的方向。 最后,测试有无连接时输入方向的变化如何影响神经元活动。 PS6(提供的大量代码):模拟神经网络中神经元的活动,其激发速率具有不同的均值和标准差。 突触重量和神经元数量之间的关系是从理想行为的平均值(低)和SD(高)得出的。 学习与记忆 PS7(a):Bienenstock-Cooper-Munro(BCM)学习规则的实现,给定在每次模拟开始时随机选择的两种输入模式。 PS7(b):在两个神经元之间执行尖峰时序相关可塑性(STDP),其中重量变化取决于与突触前神经元尖峰的时间差。 PS8:实现感知器以根据体重变化学习模式。

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