什么是 spiking network model builder?
协助构建尖峰神经网络模拟:神经元模型、连接性、可塑性规则 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
协助构建尖峰神经网络模拟:神经元模型、连接性、可塑性规则
通过命令行快速安装 spiking network model builder AI 技能到你的开发环境
来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
This skill encodes expert methodological knowledge for constructing biologically realistic spiking neural network simulations. A competent programmer without computational neuroscience training will get this wrong because:
This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.
| Resting potential | Vrest | -65 mV | Dayan & Abbott, 2001 | | Threshold | Vthresh | -50 mV | Dayan & Abbott, 2001 | | Reset potential | Vreset | -65 mV | Dayan & Abbott, 2001 | | Membrane time constant | taum | 20 ms | Dayan & Abbott, 2001 | | Membrane resistance | Rm | 100 MOhm (typical cortical) | Dayan & Abbott, 2001 |
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill spiking network model builderBrowse more skills from haoxuanlithuai/awesome_cognitive_and_neuroscience_skills
协助构建尖峰神经网络模拟:神经元模型、连接性、可塑性规则 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill spiking network model builder 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills