Diffusion Decision Model: Current Issues and History.
Diffusion Decision Model: Current Issues and History.
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DOI：
10.1016/j.tics.2016.01.007
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发表时间：
2016-04
影响因子：
19.9
通讯作者：
McKoon G
中科院分区：
文献类型：
--
作者：
Ratcliff R;Smith PL;Brown SD;McKoon G
人们对扩散模型越来越感兴趣，以表示快速决策的认知和神经过程。像扩散模型这样的序贯抽样模型在心理学中有着悠久的历史。他们认为决策是一个从刺激中嘈杂地积累证据的过程。标准模型假设，在做出决定的一两秒钟内，证据以恒定的速率积累。这个过程可以与神经元群体的行为和最优性理论联系起来。扩散模型已经成功地应用于一系列认知任务中，并作为临床研究中检验个体差异的心理测量工具。在本文中，我们将这些模型与早期和最近的心理学研究联系起来。
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 article, we relate the models to both earlier and more recent research in psychology.