Department of Psychology, Durham University, United Kingdom.
Vision Res. 2024 Feb;215:108343. doi: 10.1016/j.visres.2023.108343. Epub 2023 Dec 30.
The capacity of visuospatial working memory (VSWM) is limited. However, there is continued debate surrounding the nature of this capacity limitation. The resource model (Bays et al., 2009) proposes that VSWM capacity is limited by the precision with which visuospatial features can be retained. In one of the few studies of spatial working memory, Schneegans and Bays (2016) report that memory guided pointing responses show a monotonic decrease in precision as set size increases, consistent with resource models. Here we report two conceptual replications of this study that use mouse responses rather than pointing responses. Overall results are consistent with the resource model, as there was an exponential increase in localisation error and monotonic increases in the probability of misbinding and guessing with increases in set size. However, an unexpected result of Experiment One was that, unlike Schneegans and Bays (2016), imprecision did not increase between set sizes of 2 and 8. Experiment Two replicated this effect and ruled out the possibility that the invariance of imprecision at set sizes greater than 2 was a product of oculomotor strategies during recall. We speculate that differences in imprecision are related to additional visuomotor transformations required for memory-guided mouse localisation compared to memory-guided manual pointing localisation. These data demonstrate the importance of considering the nature of the response modality when interpreting VSWM data.
视空间工作记忆(VSWM)的容量是有限的。然而,关于这种容量限制的本质,仍存在持续的争论。资源模型(Bays 等人,2009)提出,VSWM 容量受视空间特征保留精度的限制。在为数不多的空间工作记忆研究之一中,Schneegans 和 Bays(2016)报告说,记忆引导的指向反应的精度随着集大小的增加呈单调下降,与资源模型一致。在这里,我们报告了这项研究的两个概念复制,使用鼠标响应而不是指向响应。总体结果与资源模型一致,因为随着集大小的增加,定位误差呈指数增长,错误绑定和猜测的概率呈单调增加。然而,实验一的一个意外结果是,与 Schneegans 和 Bays(2016)不同,在集大小为 2 和 8 之间,精度并没有增加。实验二复制了这一效果,并排除了在集大小大于 2 时精度不变是回忆期间眼球运动策略的产物的可能性。我们推测,与记忆引导的手动指向定位相比,记忆引导的鼠标定位所需的额外视觉运动转换与精度差异有关。这些数据表明,在解释 VSWM 数据时,考虑响应模态的性质非常重要。