什麼是 spiking network model builder?
協助建構尖峰神經網路模擬:神經元模型、連結性、可塑性規則 來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
協助建構尖峰神經網路模擬:神經元模型、連結性、可塑性規則
透過命令列快速安裝 spiking network model builder AI 技能到你的開發環境
來源: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 |
為搜尋與 AI 引用準備的穩定欄位與指令。
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
協助建構尖峰神經網路模擬:神經元模型、連結性、可塑性規則 來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
開啟你的終端機或命令列工具(如 Terminal、iTerm、Windows Terminal 等) 複製並執行以下指令:npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill spiking network model builder 安裝完成後,技能將自動設定到你的 AI 程式設計環境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills