Chunking as a rational strategy for lossy data compression in visual working memory.
Chunking as a rational strategy for lossy data compression in visual working memory.
复制标题
DOI：
10.1037/rev0000101
复制
发表时间：
2018-07
影响因子：
5.4
通讯作者：
Frank MJ
中科院分区：
文献类型：
--
作者：
Nassar MR;Helmers JC;Frank MJ
视觉工作记忆容量限制的本质一直是一个激烈辩论的主题，它依赖于假设项目独立编码的模型。在这里，我们建议，相反，类似的功能，共同编码通过“组块”的过程，以优化视觉工作记忆任务的性能。我们表明，这种组块可以：1）促进抽象容量有限的系统的性能改进，2）通过强化进行优化，3）通过中心环绕动态实现，以及4）以牺牲召回精度为代价增加有效存储容量。人类的表现在一个典型的工作记忆任务的变体表现出性能优势，精确度，项目间的依赖关系，和审判到审判的行为调整诊断性能优化，通过中心环绕组块。在我们的研究以及元分析数据集中，结合中心-环绕组块的模型提供了对人类表现的更好的定量描述，个体之间工作记忆容量的明显差异归因于组块实施的个体差异。我们的研究结果揭示了一个规范的工作记忆电路中的中心-环绕连接的基本原理，要求重新评估以前被归因于容量差异的记忆性能差异，并支持视觉工作记忆容量限制的更细致入微的观点：通过组块存储容量和记忆精度之间的战略权衡有助于灵活的容量限制，包括离散和连续方面。
The nature of capacity limits for visual working memory has been the subject of an intense debate that has relied on models that assume items are encoded independently. Here we propose that instead, similar features are jointly encoded through a “chunking” process to optimize performance on visual working memory tasks. We show that such chunking can: 1) facilitate performance improvements for abstract capacity-limited systems, 2) be optimized through reinforcement, 3) be implemented by center-surround dynamics, and 4) increase effective storage capacity at the expense of recall precision. Human performance on a variant of a canonical working memory task demonstrated performance advantages, precision detriments, inter-item dependencies, and trial-to-trial behavioral adjustments diagnostic of performance optimization through center-surround chunking. Models incorporating center-surround chunking provided a better quantitative description of human performance in our study as well as in a meta-analytic dataset, and apparent differences in working memory capacity across individuals were attributable to individual differences in the implementation of chunking. Our results reveal a normative rationale for center-surround connectivity in working memory circuitry, call for re-evaluation of memory performance differences that have previously been attributed to differences in capacity, and support a more nuanced view of visual working memory capacity limitations: strategic tradeoff between storage capacity and memory precision through chunking contribute to flexible capacity limitations that include both discrete and continuous aspects.
登录
查看更多内容
影响因子：
1.8
作者：
Bays PM;Catalao RF;Husain M
通讯作者：
Husain M
影响因子：
4.1
作者：
Brady, Timothy F.;Konkle, Talia;Alvarez, George A.
通讯作者：
Alvarez, George A.
影响因子：
19.9
作者：
Franconeri SL;Alvarez GA;Cavanagh P
通讯作者：
Cavanagh P
影响因子：
16.2
作者：
Ester EF;Sprague TC;Serences JT
通讯作者：
Serences JT
影响因子：
5.4
作者：
Donkin, Christopher;Nosofsky, Robert M.;Gold, Jason M.;Shiffrin, Richard M.
通讯作者：
Shiffrin, Richard M.