Department of Neurobiology, Howard Hughes Medical Institute and Harvard Medical School, Boston, Massachusetts 02155, USA.
J Neurosci. 2011 Nov 2;31(44):15802-6. doi: 10.1523/JNEUROSCI.3063-11.2011.
No matter how hard subjects concentrate on a task, their minds wander (Raichle et al., 2001; Buckner et al., 2008; Christoff et al., 2009; Killingsworth and Gilbert, 2010). Internal fluctuations cannot be measured behaviorally or from conventional neurophysiological measures, so their effects on performance have been difficult to study. Previously, we measured fluctuations in visual attention using the responses of populations of simultaneously recorded neurons in macaque visual cortex (Cohen and Maunsell, 2010). Here, we use this ability to investigate how attentional fluctuations affect performance. We found that attentional fluctuations have large and complex effects on performance, the sign of which depends on the difficulty of the perceptual judgment. As expected, attention greatly improves the detection of subtle changes in a stimulus. Surprisingly, we found that attending too strongly to a particular stimulus impairs the ability to notice when that stimulus changes dramatically. Our results suggest that all previously reported measures of behavioral performance should be viewed as amalgamations of different attentional states, whether or not those studies specifically addressed attention.
无论受试者多么专注于一项任务,他们的思维都会游离(Raichle 等人,2001 年;Buckner 等人,2008 年;Christoff 等人,2009 年;Killingsworth 和 Gilbert,2010 年)。内部波动无法通过行为或传统的神经生理学测量来衡量,因此它们对性能的影响很难研究。以前,我们使用猕猴视觉皮层中同时记录的神经元群体的反应来测量视觉注意力的波动(Cohen 和 Maunsell,2010 年)。在这里,我们利用这种能力来研究注意力波动如何影响性能。我们发现,注意力波动对性能有很大且复杂的影响,其符号取决于感知判断的难度。正如预期的那样,注意力大大提高了对刺激细微变化的检测能力。令人惊讶的是,我们发现过于强烈地关注特定刺激会损害注意到该刺激发生剧烈变化的能力。我们的结果表明,以前报告的所有行为表现测量都应该被视为不同注意力状态的混合,无论这些研究是否专门涉及注意力。