Cardiff University.
Psychol Bull. 2018 Aug;144(8):849-883. doi: 10.1037/bul0000155. Epub 2018 May 24.
The dominant paradigm for understanding working memory, or the combination of the perceptual, attentional, and mnemonic processes needed for thinking, subdivides short-term memory (STM) according to whether memoranda are encoded in aural-verbal or visual formats. This traditional dissociation has been supported by examples of neuropsychological patients who seem to selectively lack STM for either aural-verbal, visual, or spatial memoranda, and by experimental research using dual-task methods. Though this evidence is the foundation of assumptions of modular STM systems, the case it makes for a specialized visual STM system is surprisingly weak. I identify the key evidence supporting a distinct verbal STM system-patients with apparent selective damage to verbal STM and the resilience of verbal short-term memories to general dual-task interference-and apply these benchmarks to neuropsychological and experimental investigations of visual-spatial STM. Contrary to the evidence on verbal STM, patients with apparent visual or spatial STM deficits tend to experience a wide range of additional deficits, making it difficult to conclude that a distinct short-term store was damaged. Consistently with this, a meta-analysis of dual-task visual-spatial STM research shows that robust dual-task costs are consistently observed regardless of the domain or sensory code of the secondary task. Together, this evidence suggests that positing a specialized visual STM system is not necessary. (PsycINFO Database Record
理解工作记忆(或思考所需的感知、注意和记忆过程的组合)的主导范式根据记忆是按听觉-言语还是视觉格式编码,将短期记忆 (STM) 进行细分。这种传统的分离得到了神经心理学患者的例子的支持,这些患者似乎选择性地缺乏听觉-言语、视觉或空间记忆的 STM,并且通过使用双任务方法的实验研究得到了支持。尽管这一证据是模块化 STM 系统假设的基础,但它对专门的视觉 STM 系统的支持却出人意料地薄弱。我确定了支持独特的言语 STM 系统的关键证据——言语 STM 明显选择性损伤的患者以及言语短期记忆对一般双任务干扰的弹性——并将这些基准应用于视觉空间 STM 的神经心理学和实验研究。与言语 STM 的证据相反,具有明显视觉或空间 STM 缺陷的患者往往会经历广泛的其他缺陷,因此很难得出短期存储被损坏的结论。一致的是,对双任务视觉空间 STM 研究的荟萃分析表明,无论次要任务的领域或感觉代码如何,都会一致观察到强大的双任务成本。综上所述,这一证据表明,没有必要假设一个专门的视觉 STM 系统。