什么是 signal detection analysis?
将信号检测理论应用于认知科学数据的经过领域验证的决策逻辑、公式和解释指南 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
将信号检测理论应用于认知科学数据的经过领域验证的决策逻辑、公式和解释指南
通过命令行快速安装 signal detection analysis 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 applying Signal Detection Theory (SDT) to behavioral and cognitive science data. SDT separates an observer's perceptual sensitivity from their decision criterion -- a distinction that raw accuracy conflates. A competent programmer without cognitive science training would typically compute percent correct, missing the critical insight that two observers with id...
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.
Every SDT analysis begins with classifying each trial into one of four categories:
将信号检测理论应用于认知科学数据的经过领域验证的决策逻辑、公式和解释指南 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
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 signal detection analysisBrowse more skills from haoxuanlithuai/awesome_cognitive_and_neuroscience_skills
将信号检测理论应用于认知科学数据的经过领域验证的决策逻辑、公式和解释指南 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 signal detection analysis 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