Department of Neurobiology and Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA.
Curr Biol. 2011 Jun 7;21(11):975-9. doi: 10.1016/j.cub.2011.04.031. Epub 2011 May 19.
Change detection is a popular task to study visual short-term memory (STM) in humans [1-4]. Much of this work suggests that STM has a fixed capacity of 4 ± 1 items [1-6]. Here we report the first comparison of change-detection memory between humans and a species closely related to humans, the rhesus monkey. Monkeys and humans were tested in nearly identical procedures with overlapping display sizes. Although the monkeys' STM was well fit by a one-item fixed-capacity memory model, other monkey memory tests with four-item lists have shown performance impossible to obtain with a one-item capacity [7]. We suggest that this contradiction can be resolved using a continuous-resource approach more closely tied to the neural basis of memory [8, 9]. In this view, items have a noisy memory representation whose noise level depends on display size as a result of the distributed allocation of a continuous resource. In accord with this theory, we show that performance depends on the perceptual distance between items before and after the change, and d' depends on display size in an approximately power-law fashion. Our results open the door to combining the power of psychophysics, computation, and physiology to better understand the neural basis of STM.
变化检测是研究人类视觉短期记忆(STM)的一项热门任务[1-4]。这项工作表明,STM 的固定容量约为 4±1 项[1-6]。在这里,我们首次比较了人类和与人类密切相关的物种——猕猴之间的变化检测记忆。猴子和人类在几乎相同的程序中进行测试,显示尺寸重叠。尽管猴子的 STM 很好地符合一个固定容量的记忆模型,但其他四项记忆测试表明,使用一项容量不可能获得猴子的表现[7]。我们建议,使用更紧密地与记忆神经基础相关的连续资源方法可以解决这一矛盾[8,9]。在这种观点中,项目具有嘈杂的记忆表示,其噪声水平取决于显示尺寸,这是由于连续资源的分布式分配造成的。与该理论一致,我们表明,性能取决于变化前后项目之间的感知距离,并且 d' 以大约幂律的方式依赖于显示尺寸。我们的结果为结合心理物理学、计算和生理学的力量以更好地理解 STM 的神经基础打开了大门。