用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/hiyenwong/ai_collection --skill traced-activation-cascade-analysis命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Graph-native Python reimplementation of the Information Dynamics of Music (IDyOM) model that represents predictive memories as explicit graph objects for musical expectation modeling and network analysis.
Physics-aware end-to-end deep reinforcement learning methodology for quadcopter control with actuator dynamics modeling.
Reinforced Dreamer methodology for asymmetric reinforcement learning using latent guidance to improve world model representations and behaviors in model-based RL.
基于 SOC 职业分类
正在显示 SKILL.md
| name | traced-activation-cascade-analysis |
| description | TRACED: Activation Cascade Root-Cause Analysis |
Source: arXiv:2207.07965v1 (July 2022) Utility: 0.90 Authors: Qihang Yao et al. Conference: Brain Informatics 2022
TRACED (Topological Root-Cause Analysis of Cascade Differences) identifies the smallest set of brain connectivity changes that explain observed activation cascade differences between two groups (e.g., Controls vs MDD).
Core Insight: Activation cascade comparison is more insightful than static network differences for understanding functional impact.
numpy - Graph operations and matrix computationsconnectome_data - Structural connectivity matrices (dMRI tractography)linear_threshold_model - Activation cascade simulationgraph_analysis - Edge weight difference identificationUser: 如何分析抑郁症患者与健康对照组的脑网络差异？
Agent: 使用 TRACED 方法：
优势： 比静态网络差异（如 centrality）更能反映功能性影响。
User: 治疗前后脑网络有什么功能性变化？
Agent: TRACED 分析：
Simulated activity propagation after stimulating a source region:
Input:
Output:
Steps:
Applied to Major Depressive Disorder (MDD) vs healthy controls:
| Finding | TRACED vs Static Methods |
|---|---|
| Explanatory power | Higher (functional dynamics) |
| Minimal changes | Precise set of edges |
| Clinical insight | Better correlation with symptoms |
brain-stimulation-dynamics-state - Stimulation effects on dynamicsbrain-network-controllability - Control theory for brain networksccep-causal-brain-network - Causal connectivity from stimulation