ATR Computational Neuroscience Laboratories, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan.
Proc Biol Sci. 2010 Nov 22;277(1699):3421-6. doi: 10.1098/rspb.2010.0891. Epub 2010 Jun 9.
Visual perception is dependent not only on low-level sensory input but also on high-level cognitive factors such as attention. In this paper, we sought to determine whether attentional processes can be internally monitored for the purpose of enhancing behavioural performance. To do so, we developed a novel paradigm involving an orientation discrimination task in which observers had the freedom to delay target presentation--by any amount required--until they judged their attentional focus to be complete. Our results show that discrimination performance is significantly improved when individuals self-monitor their level of visual attention and respond only when they perceive it to be maximal. Although target delay times varied widely from trial-to-trial (range 860 ms-12.84 s), we show that their distribution is Gaussian when plotted on a reciprocal latency scale. We further show that the neural basis of the delay times for judging attentional status is well explained by a linear rise-to-threshold model. We conclude that attentional mechanisms can be self-monitored for the purpose of enhancing human decision-making processes, and that the neural basis of such processes can be understood in terms of a simple, yet broadly applicable, linear rise-to-threshold model.
视觉感知不仅依赖于低级别的感官输入,还依赖于高级别的认知因素,如注意力。在本文中,我们试图确定注意力过程是否可以进行内部监测,以提高行为表现。为此,我们开发了一种新的范式,涉及到一个方向辨别任务,观察者可以自由地延迟目标呈现——只要他们认为自己的注意力集中完成。我们的结果表明,当个体自我监测他们的视觉注意力水平并仅在他们认为注意力达到最大时才做出反应时,辨别性能会显著提高。虽然目标延迟时间在每次试验之间变化很大(范围为 860 毫秒至 12.84 秒),但我们表明,当将其绘制在倒数潜伏期标度上时,它们的分布呈高斯分布。我们进一步表明,用于判断注意力状态的延迟时间的神经基础可以很好地用线性上升到阈值模型来解释。我们得出结论,注意力机制可以自我监测,以提高人类决策过程,并且可以根据简单但广泛适用的线性上升到阈值模型来理解这些过程的神经基础。