The capacity limitations of visual attention

注意力的过程允许大脑从环境中选择相关的刺激，并保护其有限的信息处理能力不会超负荷。这个项目将开发和测试一个神经上可信的、关于注意力选择和能力限制的计算模型。该模型描述了在简单认知任务中，选择竞争、视觉短时记忆的信息和项目容量以及决策噪声是如何决定成绩的。它解释了各种容量限制的影响如何随策略或任务集的不同而变化，并提供了基于信噪比加性的视觉短期记忆信息容量的度量。

Processes of attention allow the brain to select relevant stimuli from the environment and protect its limited information-processing capacity from overload. This project will develop and test a neurally-plausible, computational model of attentional selection and capacity limitations. The model describes how performance in simple cognitive tasks is determined by selection competition, the information and item capacity of visual short-term memory, and decision noise. It provides an account of how the effects of these various kinds of capacity limitation vary with strategy or task set, and provides a metric for the information capacity of visual short-term memory based on the additivity of signal-to-noise ratios.