方法证据记录
Drift Diffusion Model
The Drift Diffusion Model (DDM) is a mathematical framework for understanding rapid binary decision-making by modeling the accumulation of evidence over time as a random walk with drift. Developed by Roger Ratcliff in the 1970s, it predicts both choice probabilities and response time distributions, providing insight into the cognitive processes underlying decisions in perceptual discrimination, recognition memory, and choice tasks.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Drift Diffusion Model
分类方法记录 · hypothesis-test / psychology
- Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 85(2), 59-108. · DOI 10.1037/0033-295X.85.2.59
- Ratcliff, R., & McKoon, G. (2008). The diffusion model: A universal model for rapid decision. Psychological Review, 115(2), 357-380. · URL
- Wagenmakers, E.-J., van der Maas, H. L. J., & Grasman, R. P. P. P. (2007). An EZ-diffusion model for response time and accuracy. Psychonomic Bulletin & Review, 14(1), 3-22. · DOI 10.3758/BF03194023
精选声明
声明已持久化到证据分类账中,每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时,此视图不会自行创建声明评估。
相关方法
从方法图中生成,显示为机器建议的关系 — 不推断任何证据声明。