How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters.
How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters.
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DOI：
10.1016/j.jmp.2016.03.003
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发表时间：
2017-02
影响因子：
1.8
通讯作者：
Srinivasan R
中科院分区：
文献类型：
--
作者：
Nunez MD;Vandekerckhove J;Srinivasan R
感知决策可以用漂移-扩散模型来解释，漂移-扩散模型是一类决策模型，它假设每次试验的证据是随机积累的。将响应时间和精度拟合到漂移-扩散模型中产生反映认知过程的证据积累率和非决策时间参数估计。我们的目标是阐明注意力对视觉决策的影响。在这项研究中，我们表明，从同时的脑电图记录中获得的注意力测量可以解释视觉决策任务中每次试验的证据积累率和知觉预处理时间。在分层贝叶斯框架中，假设扩散模型参数与EEG测量值之间存在线性关系作为外部输入，只需一步即可拟合模型。脑电测量是诱发电位（EP）对掩蔽噪声和任务相关信号刺激开始的特征。单次试验诱发的脑电反应，对视觉噪声的p200和对视觉信号的n200，解释了单次试验证据积累和预处理时间。试验内证据积累方差不受信号或噪声的影响。单次试验的注意力测量可以更好地预测个体受试者的准确性和正确的反应时间分布。
Perceptual decision making can be accounted for by drift-diffusion models, a class of decision-making models that assume a stochastic accumulation of evidence on each trial. Fitting response time and accuracy to a drift-diffusion model produces evidence accumulation rate and non-decision time parameter estimates that reflect cognitive processes. Our goal is to elucidate the effect of attention on visual decision making. In this study, we show that measures of attention obtained from simultaneous EEG recordings can explain per-trial evidence accumulation rates and perceptual preprocessing times during a visual decision making task. Models assuming linear relationships between diffusion model parameters and EEG measures as external inputs were fit in a single step in a hierarchical Bayesian framework. The EEG measures were features of the evoked potential (EP) to the onset of a masking noise and the onset of a task-relevant signal stimulus. Single-trial evoked EEG responses, P200s to the onsets of visual noise and N200s to the onsets of visual signal, explain single-trial evidence accumulation and preprocessing times. Within-trial evidence accumulation variance was not found to be influenced by attention to the signal or noise. Single-trial measures of attention lead to better out-of-sample predictions of accuracy and correct reaction time distributions for individual subjects.