Wanke Pan

Oct 1, 2024
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Wanke Pan

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
Meta-Self Lab
Meta-Self Lab

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

Publications

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
Cite Project Project Source Document
No Single Model Fits All: Conflict Decision-Making Models Vary More Across Datasets Than Across Tasks
Conflict variants of evidence accumulation models are widely used to explain human cognitive control. However, the generalizability of these models is largely unknown because of the lack of systematic
PAN Wanke, Wang, Jia-Shun, Oberauer, Klaus, Hu Chuan-Peng
Cite Project Source Document
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
Cite Project DOI
dockerHDDM: A User-Friendly Environment for Bayesian Hierarchical Drift-Diffusion Modeling
Cognitive decision neural networks based on evidence accumulation framework (in Chinese)
Cognitive Decision Neural Networks based on evidence accumulation framework enable in silico modeling of human decision-making, providing a novel approach to understanding cognitive processes.
Siyu Chen, Wanke Pan, Chuan-Peng, Hu
Cite Project Project DOI
Model comparison in cognitive modeling
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
Cite Project DOI
Model comparison in cognitive modeling