pyHH是Hodgkin-Huxley峰值神经元模型的简单Python实现。 pyHH可以模拟电导并计算离散时间点的膜电压,而无需使用微分方程求解器。 是一个用C#编写的类似项目。 最小代码示例 在不到100行的Python()中创建了完整的Hodgkin-Huxley峰值神经元模型和仿真。 与Internet上的其他代码示例不同,此实现是面向对象的和Pythonic的...
[Neuronal Dynamics 笔记] I Foundations of Neuronal Dynamics - 2 The Hodgkin-Huxley Model,程序员大本营,技术文章内容聚合第一站。
Python实现深度神经网络(DNN)进行模式分类识别的详细项目实例(包含详细的完整的程序和数据) 2024-10-28 01:50:43 积分:1 yolov8训练自己的数据集.docx 2024-10-28 01:21:36 积分:1 yolov8训练自己的数据集.docx 2024-10-28 01:20:30 积分:1
Wikipedia: Hodgkin–Huxley model Hodgkin-Huxley spiking neuron model in Python by Giuseppe Bonaccorso - a HH model which uses the scipy.integrate.odeint ordinary differential equation solver Introduction to Computational Modeling: Hodgkin-Huxley Model by Andrew Jahn - a commentary of the HH model wit...
pyHHis a similar project for Python ScottPlotis used to interactively display simulation results Biological Hodgkin and Huxley, 1952(the original manuscript) The Hodgkin-Huxley Mode(The GENESIS Simulator, Chapter 4) Wikipedia:Hodgkin–Huxley model ...
在钠离子独特的响应机制下,通过数值计算观察到产生动作电位的阈值,python代码如下。在这一简单数值模拟中,假定电流输入是恒定的;如果想要模拟不同的电流输入,可在HHmodel模块中自行编辑电流序列 HHmodel模块代码 importnumpyasnpimportmathdefalphaM(V):return(2.5-0.1*(V+65))/(np.exp(2.5-0.1*(V+65))-1)def...
导入包: new_optimizationfitterhodgkinhuxleyfitter 每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。 示例1 [['soma', '0.5', 'kap', 'gbar']], [['soma', '0.5', 'na8st', 'gbar']] ] errfun = 'rms' fitfun = 'get_v' fitnessweights = [1] model_dir = '../...
We controlled the voltage of a Connor-Stevens (CS) conductance-based neuron model using nonlinear model predictive control (MPC). While the parameters of the CS model in priniciple can be emperically estimated, we simulated the case where very little knowledge of the controlled neuron is known,...
While the parameters of the CS model in priniciple can be emperically estimated, we simulated the case where very little knowledge of the controlled neuron is known, and the dynamics must be approximated using data-driven methods. This was inspired by the data-driven forecasting (DDF) model ...