漂移-扩散认知模型:描述、应用和视角(Modelos cognitivos de deriva-difusión: descripción, applications by perspectivas)

IF 0.2 Q4 PSYCHOLOGY, MULTIDISCIPLINARY Studies in Psychology-Psikoloji Calismalari Dergisi Pub Date : 2022-05-04 DOI:10.1080/02109395.2022.2056802
J. Pérez-Parra, Daniel Rojas-Líbano
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引用次数: 0

摘要

漂移-扩散模型(DDM)是研究决策过程中不可观察认知过程的一种方法。DDM在心理学和认知神经科学中得到了广泛的应用和发展,但在西班牙语中没有关于该主题的一般参考资料。本综述的目的是为在认知科学领域对心理学和神经科学领域的决策实验研究感兴趣的西班牙语研究人员、专业人士和学者提供参考资料。本文还将探讨DDM的标准描述、参数、数学表达式及其在认知任务中的应用。本文回顾了认知心理学和神经科学领域中使用DDM的最新出版物,并根据当前对认知过程的讨论,讨论了它们在新的和未来的应用前景。
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Drift-diffusion cognitive models: description, applications and perspectives (Modelos cognitivos de deriva-difusión: descripción, aplicaciones y perspectivas)
ABSTRACT Drift-diffusion models (DDM) have been proposed as a way to study unobservable cognitive processes underlying decision-making. DDM have been widely used and developed in psychology and cognitive neuroscience, but there are no general references in Spanish on the subject. The purpose of this review is to develop reference materials for Spanish-speaking researchers, professionals and scholars in the area of cognitive sciences who are interested in the experimental study of decision-making in the psychology and neuroscience fields. It will also explore the standard description of DDM, its parameters, mathematical expression and applications in cognitive tasks. Recent publications in the fields of cognitive psychology and neuroscience that use DDM are reviewed, and their prospects for new and future applications are discussed, in light of current discussions of cognitive processes.
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