Probabilistic mixture models have contributed significantly to advancements in visual working memory research in recent decades. In a new paper, Schurgin and colleagues revisit the basic assumptions of mixture models and suggest that we cannot understand memory without first considering perception.

中文翻译：

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重新审视记忆的混合模型。

近几十年来，概率混合模型对视觉工作记忆研究的进步做出了重大贡献。在一篇新论文中，Schurgin 及其同事重新审视了混合模型的基本假设，并提出如果不首先考虑感知，我们就无法理解记忆。