Ratcliff Roger, Smith Philip L, Brown Scott D, McKoon Gail
Department of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, OH, 43210, USA.
Melbourne School of Psychological Sciences, Level 12, Redmond Barry Building 115, University of Melbourne, Parkville, VIC 3010, Australia.
Trends Cogn Sci. 2016 Apr;20(4):260-281. doi: 10.1016/j.tics.2016.01.007. Epub 2016 Mar 5.
There is growing interest in diffusion models to represent the cognitive and neural processes of speeded decision making. Sequential-sampling models like the diffusion model have a long history in psychology. They view decision making as a process of noisy accumulation of evidence from a stimulus. The standard model assumes that evidence accumulates at a constant rate during the second or two it takes to make a decision. This process can be linked to the behaviors of populations of neurons and to theories of optimality. Diffusion models have been used successfully in a range of cognitive tasks and as psychometric tools in clinical research to examine individual differences. In this review, we relate the models to both earlier and more recent research in psychology.
人们越来越关注扩散模型,以表征快速决策的认知和神经过程。像扩散模型这样的序列抽样模型在心理学领域有着悠久的历史。它们将决策视为一个从刺激中进行有噪声证据积累的过程。标准模型假设,在做出决策所需的一两秒钟内,证据以恒定速率积累。这一过程可以与神经元群体的行为以及最优性理论联系起来。扩散模型已成功应用于一系列认知任务,并作为临床研究中的心理测量工具来检验个体差异。在这篇综述中,我们将这些模型与心理学领域早期和近期的研究联系起来。