潘晚坷

10月 1, 2024
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潘晚坷

2023-：南京师范大学心理学博士在读
2020-2023：上海师范大学心理学硕士
2016-2020：成都师范学院心理学学士
音乐制作、跑酷、围棋、小众软件以及任何不熟悉的自由的活动
话题终结和独处

Postgraduate
元自我研究小组
元自我研究小组

If (hu)man is the measure of all things, what is the measure of human? matter.

出版物

Modeling Decision Bias in dockerHDDM: A Systematic Comparison and Evaluation
Decision bias refers to a systematic tendency to approach or avoid a particular option in two-alternative forced-choice (2AFC) tasks. Here we evaluated nine model specifications using the three main modeling modules in HDDM across both simulated and empirical data.
Wu, Siyu, PAN Wanke, Hu Chuan-Peng
引用 项目 项目 源文档
dockerHDDM: A User-Friendly Environment for Bayesian Hierarchical Drift-Diffusion Modeling
Drift-diffusion models (DDMs) are pivotal in understanding evidence-accumulation processes during decision-making across psychology, behavioral economics, neuroscience, and psychiatry.
Wanke Pan, Haiyang Geng, Lei Zhang, Alexander Fengler, Michael J. Frank, Ru-Yuan Zhang, Hu Chuan-Peng
引用 项目 DOI
dockerHDDM: A User-Friendly Environment for Bayesian Hierarchical Drift-Diffusion Modeling
基于证据积累的认知决策神经网络模型
基于证据积累的认知决策神经网络模型为模拟人类决策全过程提供了新途径, 推动对人类认知的深入理解。
陈思羽, 潘晚坷, 胡传鹏
引用 项目 项目 DOI
认知建模中模型比较的方法
Cognitive modeling has gained widespread application in psychological research, providing a robust framework for understanding complex cognitive processes.
GUO Mingqian, PAN Wanke, Chuan-Peng, H
引用 项目 DOI
认知建模中模型比较的方法